the effects of eeg neurofeedback and neuro … › wp-content › uploads › 2016 › 07 ›...
TRANSCRIPT
The Effects of EEG Neurofeedback and Neuro-Cognitive Processing in the
Educational Environment of an Arts-Based Private Elementary/Middle School
Lise’ DeAndre’ DeLong
#111382
Submitted in partial fulfillment of the requirements for the
Doctor of Philosophy
The Union Institute and University
Dr. Audrey Faulkner, Core Advisor
April 21, 2002
Matriculation Date: January 15, 1999
L. DeLong, 111382 1
Statement of the Problem
The purpose of this study was to ascertain measurable differences in academic outcomes
among two groups of learners within a creative arts curriculum that employed a self-
directed, stress-reduced, and individualized curriculum. One group was provided with
EEG neurofeedback and neuro-cognitive coaching for stress reduction, while the other
was not. This study measured the rate of improvement in academic progress that a
learner can achieve when formalized learning takes place in a stress-reduced arts-based
learning environment with EEG neurofeedback and neurocognitive coaching.
Neurofeedback was used as a tool to improve the ability of the student to reduce stress, to
focus attention, and to improve concentration, thus improving performance. The
physiological effects of stress on a learner have been examined and found to decline as a
result of applying a course of EEG neurofeedback and neuro-cognitive therapy. Stress is
a psychophysiological response that occurs in the brain, the results of which can range
from intensifying the damage due to stroke, to causing seizures, to reducing the capacity
to remember or to learn. Turkington (1996) described the role of the limbic system in
stress as being stimulated by environmental or physical stressors such that an imbalance
in the brain is produced that results in tension between limbic and cortical impulses. It is
commonly believed that stress has a negative impact on people's performance and
functioning in the areas of work, home and education. Life, as most of us now know it,
can be characterized by a sense of urgency to operate at high levels of speed, productivity
and performance. For this reason, this writer believes that the ultra-high-speed era of
technology has cultivated a group of learners resistant to the slow pace of conventional
L. DeLong, 111382 2
educational methods. It is imperative for contemporary educational methodologists to
develop teaching systems that can keep pace with the speed of technology and that can
reduce stress in the learning context.
It was through the design and development of this study that this writer was able
to identify means of reducing stress in learning environments. The means identified
included: the use of specialized academic environments, creative curriculums,
psychophysiological profiles, and neurophysiological tools such as EEG neurofeedback
and the binaural listening techniques developed at the Monroe Institute. In the United
States, achieving academic excellence has been of paramount concern. On standardized
tests designed to measure such achievement, students scores have declined at the same
time that emphasis on improving performance has increased (Healy, 1997). It is critical
for educators to find casual factors for this decline and then design learning environments
and apply techniques that promote learning for all students. Clearly, there are problems
in our educational system. With an illiteracy rate in the United States of about 20
percent, roughly two out of ten people in any given classroom are likely to have
significant difficulties in the areas of reading, writing, listening and or speaking. (C.
Florence, Personal Communication, September 1997).
A student's ability to learn depends upon that student's interpretations of, and
reactions to, challenges and environmental qualities (Ekman-Lundy, 1998). If a learning
environment is perceived by a student as threatening, whether due to the actions of
classmates, the teacher or to the overall classroom experience, that student is likely to
respond with elevated levels of stress. For example, when couples used sarcasm,
L. DeLong, 111382 3
interruptions, and criticism during discussions they showed decreased immune responses
and larger, more persistent increases in blood pressure (Kiecolt-Glaser et al., 1993). In
the classroom, the use of sarcasm, interruption and criticism in teacher-student and
student-student interactions creates stress in some students. When exposure to stressful,
negative behavior was prolonged, persistent high levels of cortisol were found that
suppressed immune function. Excessive amounts of cortisol were also found to be
associated with stress-related diseases, including colitis, cardiovascular disorders, and
adult onset diabetes. It was also found to be a major contributor to emotional instability
and cognitive deficits (Murphy, 1991).
It has been reported that individuals experiencing persistent physiological stress
experience corresponding impairments in cognitive functioning, particularly in fast-
paced, competitive, performance and product driven learning environments (Healy,
1997). An exacerbation in the level of stress often produced symptoms such as
hyperactivity, short attention span, irritability, short temper, and aggressive behavior. A
poor tolerance for additional levels of stress was also found (Comings, 1997). These
scenarios suggest that individuals living under the condition of ongoing stress are likely
to experience a persistent fight-flight response.
According to the Ohio Handbook for the Identification, Evaluation, and
Placement of Children with Language Problems, language is an organized system of
symbols shared among a group of people, which represent objects, actions, feeling,
processes, and relationships. “Every language has a set of rules that govern the content,
form, and use of that language.” Therefore, problems within any of the areas of reading,
L. DeLong, 111382 4
writing, listening or speaking are indicative of a language disorder. In this study, two of
these four areas--reading and listening--were targeted for investigation.
The typical learner with a language disorder may show impairments or
developmental delays in the areas of pragmatics, semantics, phonology, morphology
and/or syntax. In the area of pragmatics, a student may be unable to accurately
understand the content of language, and misinterpret the information as a result. A
pragmatically impaired listener may take offense at a speaker when s/he misconstrues
tonal inflections in such a way that the speaker's intended meaning is not comprehended.
This kind of listener might also hear a speaker’s statement of opinion, and then construe
it as a statement of fact. These types of misunderstandings frequently occur in those
diagnosed Attention Deficit Hyperactivity Disorder (ADHD) and Oppositional Defiance
Disorder (ODD). In the area of semantics, the meaning of the word being used
figuratively might be taken literally, as in the figurative phrase, "she just fell apart."
Developmental delays are often seen in the areas of phonology, morphology and syntax.
When individuals with delays in these areas form the physical make-up of words and
sentence structures, they tend to mispronounce words, leave off word endings or use
words in the wrong context. A student with difficulties in this area may not understand
the basic rules of language, and may have difficulty sounding out words. Difficulties in
phonology, morphology and syntax are usually seen with individuals displaying central
auditory processing disorders.
Students with both a language disorder and ADHD have been found, through
positron emission topography (PET) scans, to have less cerebral blood flow in their
L. DeLong, 111382 5
frontal lobe and more activity in the limbic system of the brain (Carter, 1998). While
mental activity is occurring, typically the brain region with the greatest density of glucose
and oxygen is in the frontal cortex. Those with ADHD, however, have been shown to
experience less than typical levels of activity in the frontal cortex during periods of
mental activity (Amen 1997). PET scans have also demonstrated that in the ADHD
learner, the majority of neuronal firing occurs primarily in the amygdala, which lies
within the limbic system (Amen, 1997).
In the field of Neurofeedback it is generally recognized that when children with
ADHD experience stress, they are more likely to react negatively than they are to interact
and proceed towards a positive outcome. One reason given for ADHD negative
interpersonal reactivity has to do with unusual levels of activity in the amygdala when
under stress. The amygdala is the emotional control center in the brain. When fear is the
active emotion in this center, neuronal activity has been shown to slow down to the
alpha/theta wave frequencies (Brown, 1991).
The Alpha/theta State is a pleasant, comforting, relaxation response for normal
individuals when the eyes are closed and the body is still. However, when ADHD
individuals experience a stress induced alpha/theta state with their eyes open combined
with efforts to be focused, often there is an accompanying reduction in the level of
cortisol, and with that, a helpless, forced state of fear that is associated with symptoms
such as sweaty palms, elevated heart rate and dilated pupils. This complex response may
lead individuals with ADHD to react or act out rather than think through and attempt to
mitigate the condition that is producing stress for them. By contrast, normal individuals
L. DeLong, 111382 6
can experience an alert beta state as a response to stress. When stressed, brainwave
activity in those with language disorders originates as a slow alpha/theta frequency
(Amen, 1997) and underscores the tendency among these individuals towards reactive,
fear responses.
In summary, the beta state--a state characterized by mental alertness--is the
typical brainwave frequency for children without language disorders when their eyes are
wide open and they are attempting to concentrate attention on completing a task (Evans
& Abarbanel, 1999). When these same children close their eyes and begin to relax, their
brainwave frequencies typically slow to the point that they enter an alpha/theta state. By
contrast, among children with language disorders, the opposite reaction tends to occur.
That is, alpha/theta waves--characteristic of relaxation--prevail when their eyes are open
and they are trying to concentrate, and beta waves prevail when their eyes are closed and
they are trying to relax or fall asleep (Lubar 1995), Lazzaro, et. al. (1999).
It may be due to the tendency towards alpha/theta vs. beta brainwave reversal in
children with language disorders and ADHD that these children experience difficulties
with resting and sleeping. It is uncertain as to whether these difficulties are due to the
condition of alertness as indicated by the presence of a beta brainwave state when the
children's eyes are closed, or whether ADHD itself is secondary to a sleeping disorder. It
may also be that low frustration tolerance and a tendency towards impulsivity and
inappropriate behavior are additional untoward consequences of alpha/theta vs. beta
brainwave reversal. Changes in elevations of these neuro-hormonal levels are thought
L. DeLong, 111382 7
not only to contribute to, but also to increase, both the frequency and the intensity of low
frustration tolerance, impulsive, and inappropriate behaviors (Brown, 1991).
The preceding discussion details a number of problems specific to individuals,
and to children in particular, with language disorders and ADHD--problems that appear
to be a function of contextually atypical brainwave patterns. These problems include, but
are not necessarily limited to, impairments in the ability to focus mental concentration to
tolerate frustration and stress, to rest and sleep; and to behave in thoughtful, context
appropriate ways. Insofar as the means exist to measure typical and atypical brainwave
patterns (the Electroencephalogram (EEG)), and the techniques exist that can teach
individuals to modify such patterns, i.e., EEG neurofeedback and neuro-cognitive
coaching, then it may be possible to document whether or not these techniques can be
efficacious towards improving the neuro-cognitive functioning of persons with language
impairments and ADHD. Bringing together a body of findings to document the impact of
these techniques is the essential purpose of this study. As an ancillary index, this
documentation will also include findings from quantitative measures of skills and skill
development in the areas of verbal and auditory processing.
The fundamental premise of this study is this: if individuals were taught to
improve focus and concentration, that improvement would alleviate their concentration
difficulties, would modify their brain neurochemical levels, increase their scores on
quantitative measures of verbal and auditory processing skills, and positively contribute
to their level of academic performance.
L. DeLong, 111382 8
This study will examine the impact of neuro-cognitive coaching combined with
EEG neurofeedback in a private school that employs a creative arts curriculum in
conjunction with music/sound therapy that, when taken together, is intended to create a
low-stress learning environment. EEG neurofeedback will be utilized to teach students to
focus and concentrate by becoming able to voluntarily modify their own brainwave
patterns. The study focused on fulfilling the needs of study participants both with and
without language disorders or ADHD and documents the effects of EEG neurofeedback
and neuro-cognitive coaching. It was the intent of the research to statistically analyze the
results from the participants’ exposure to neuro-cognitive coaching and EEG
neurofeedback.
Definition of Terms
Academic Terms
At the time of this writing, the following academic terms were generally being
used in the creative arts curriculum. A learner is a student learning in the creative arts
classroom. A facilitator is a teacher teaching in the creative arts classroom. References
to traditional classrooms mean that classroom environments are teacher directed and/or
teacher-lecture driven. In the creative arts curricula, however, classroom activities tend
to be more learner-directed. Learner-directed education in a creative arts curriculum
constitutes a process of learning that tends to be primarily initiated by the learner,
wherein activities and projects proposed by the learner are discussed with, guided and
approved by, the facilitator.
L. DeLong, 111382 9
Biofeedback Terms
Terms frequently used in the field of biofeedback are defined as follows: An
Electroencephalogram, commonly known as an EEG, is a recorded tracing of wave
patterns of electrical brain activity obtained by placing electrodes on the skull. EEG
neurofeedback is an electroencephalogram that uses auditory and visual feedback that is
displayed on a computer monitor allowing participants to observe their own brainwave
activity. Neuro-cognitive processing is a combination of EEG neurofeedback and
language process coaching. Language Process Coaching involves determining the
effectiveness of learners’ expressive and receptive skills and then using that information
to strengthen their auditory and visual modes of learning.
EMG biofeedback is defined in this study as electromyography.
Electromyography is a method of measuring muscle activity by means of a device that
produces auditory and visual feedback. Peripheral work can be used to make self-
regulated adjustments in blood pressure, body temperature, heart rate, and muscle
tension. The International 10/20 system for EEG placement specifies where
electrodes are placed on the scalp during EEG neurofeedback training (See Appendix A).
The bremer band defines the brain activity in terms of hertz (Hz) levels starting with
delta at 0.5-4 Hz, theta 4-7.5 Hz, alpha 7.5-12.5 Hz, and lastly, beta 12+ Hz. Amplitude
is defined as the voltage in microvolts measured from the peak to the trough of the
brainwave. Frequency refers to the rate at which a waveform repeats its cycle within one
second (also known as hertz or Hz).
L. DeLong, 111382 10
Music Terms
Circadian rhythmicity is an intrinsic, innate rhythm synchronized to twenty-four
hour time frames as a function of recurring periods of light and dark that, in humans,
affects body temperature, sleep and wake cycles, hormone levels, urine production and
levels of cognitive and motor production (Turkington, 1996). An individual's circadian
rhythm can be influenced through the use of specially designed music that causes that
individual's own rhythms to become entrained to the rhythms of the music. Entrainment
refers to the alteration of internal psychophysiological rhythms as a function of being
exposed to music with specific configurations of dominant beats (Wigram, 1999).
"Brainwaves, heart rhythms, respiration, emotional tone, timing, pacing and other organic
rhythms can change subtly according to the music we listen to" as a function of the
process of entrainment. (Campbell, 1997).
Persistent rhythmic auditory stimuli (binaural beating) manifests, neurologically,
as a cortical frequency-following response (FFR) in the electrical activity of the brain
(Smith et al., 1975; Marsh et al., 1970; Hink et al., 1980). Binaural beats are auditory
brainstem responses that originate in the superior olivary nucleus of each hemisphere and
result from the interaction of two different auditory impulses originating in opposite ears.
In binaural beating, a sound signal is played to each ear that is heard independently by
each ear as a single tone. When both signals are played simultaneously, the resulting
vibrato perceived is called binaural beating (Monroe, 1982). Monroe experimented with
the application a variety of frequency signals that later became a process that he patented,
known as Hemi-Sync. Through his experimentation, Monroe developed sets of auditory
L. DeLong, 111382 11
frequencies that were able to produce distinct, specific hemispherically synchronized
states. Hemispheric-synchronization (Hemi-Sync), as applied in audio-guidance and
music, can produce a variety of states, ranging from heightened focus and concentration
to deep relaxation, depending on which Hemi-Sync signals are being combined and
played. For example, a state of profound relaxation can be produced when Hemi-Sync
signals are utilized that cause the brainwave frequency to move into the alpha/theta, 4-12
Hz range (Monroe, 1982). In the audio-guidance process, different sounds or tones are
isolated for each ear by means of a stereo headset. The brain hemispheres then ‘hear’ a
third signal, which is the difference between the two original tones. This third signal is
not actually a sound, but an electrical signal that can only be perceived within the brain
by both brain hemispheres working in synchrony.
Neuroimaging Terms
Currently, several neuroimaging techniques are being used in neuroscience to
acquire information about the physiology of the brain. One of these techniques is
magnetic resonance imaging (MRI). The MRI is also referred to as nuclear magnetic
resonance imaging. This technique provides high quality cross-sections of the brain
without using radiation or x-rays (Turkington, 1996). The MRI is most commonly used
as a diagnostic tool for a variety of head and spinal cord injuries. Because the MRI can
scan on several different planes it is usually preferred over the Computerized Axial
Tomography scan (see below). Recently, science has been able to integrate findings from
two, disparate media that depict brain physiology: biophysically based (MRI) images,
and electrogenically-based EEG brainwave pattern recordings. Correspondences
L. DeLong, 111382 12
between membrane and molecular biological measures on the one hand, and
psychophysical, electrogenic measures on the other, have now been established
(Thatcher, 1999). The correlation of findings from the field of anatomy, via the MRI,
and the field of psychophysiology, via the EEG, has created a new dimension for the field
of neuro-cognitive processing. It is now possible to see an image of what is happening at
the psychological level by examining the micro-world of our cells with the MRI and the
EEG. These instruments can show an internal picture of the psychophysical "feelings" of
an individual. Moment-to-moment psychological changes are reflected at the internal,
physical level. These internally reflected psychological changes are now measurable.
Functional Neuroimaging is a new technique that measures four-dimensional
biophysical brain processes related to normal and pathological brain function, including
perception and cognition (Thatcher et al., 1994, 1996; Frackowiak et al., 1997). The
Computerized axial tomography (CAT) scan is a procedure that can provide quick and
accurate diagnoses and can produce clear cross-sectional images that illustrate a
remarkable differentiation between varying soft tissues. Positron emission tomography
(PET) is an imaging technique used for recording real time chemical activity occurring in
the brain. With regard to acquiring information about the physiology of the brain, the
MRI has two significant advantages. First, the MRI generates high quality, cross-
sectional images of the brain without the radiation, used in x-ray images. Second, MRI
images provide better differentiation between white and gray matter in the brain than
CAT scans.
L. DeLong, 111382 13
An x-ray called functional magnetic resonance imaging (fMRI), is able to record
areas in the brain where the greatest concentrations of glucose and oxygen exist at any
given time. Glucose-oxygen brain activity imaging is being increasingly utilized by brain
mappers because of the increased evidence of site specific behavioral and cognitive
dysfunction relative to glucose and oxygen concentrations in specific brain areas. Single
positron emission computerized tomography (SPECT) scan is a type of radionuclide
scanning requiring the individual to ingest a radioactive substance that tracks blood flow
and enables the SPECT scan to measure brain activity.
Stress
Two distinct components, the brain and spinal cord, make up the central nervous
system (CNS). Associated with the CNS is the autonomic nervous system (ANS). The
ANS is an involuntary system of nerves that control and stimulates the output of cortisol
from the adrenal cortex and adrenaline from the adrenal medulla. Adrenaline increases
heart rate and blood pressure and it can quickly mobilize energy reserves. Conversely,
cortisol reduces heart rate and blood pressure, and it conserves and replenishes energy
supplies. The autonomic nervous system consists of two parts: the sympathetic nervous
system and the parasympathetic nervous system. In emergency situations that cause
stress or require a fight or take flight response, the sympathetic nervous system is
dominant. The fight-or-flight response is an instantaneous reaction to a perceived threat
that creates a chain reaction of psychophysiological responses. In non-emergency
situations where conservation and renewal of energy is needed, the parasympathetic
L. DeLong, 111382 14
nervous system is dominant. In these situations, blood pressure and heart rate decrease
and the digestive process is active.
Stress is a psychological and physical response of the body that occurs whenever
we must adapt to changing conditions, be those conditions real or perceived. Stress is
commonly viewed as a frustrated "fight or flight" response. It arises when individuals
perceive that they cannot adequately cope either with the demands being made on them
or with threats to their well being (Lazarus, 1966). In an educational context, for
example, if a learner perceives a situation to be threatening and believes the situation is
beyond their ability to cope, then that learner is experiencing stress. The learner might
feel helpless, frustrated and then automatically "downshift" into the limbic system, the
most primitive part of the brain (Caine & Caine, 1997).
L. DeLong, 111382 15
Chapter II
Survey of Related Literature
The discussion of neuro-cognitive processing was taken from literature in the
fields of neuropsychology, neurocognitive sciences, neuroanatomy, neuropharmacology
and neurophysiology. Related literature was derived, not only from these areas, but also
from the areas of music therapy, educational psychology, biofeedback and
neurofeedback. The literature discussed was selected based on its pertinence to the
research conducted in this project demonstrating excellence (PDE), particularly as it
related to neuro-cognitive processing.
Biofeedback and Neurofeedback
The fields of biofeedback and neurofeedback were born as a result of classic
experimentation conducted by a group of prominent researchers that included: Barry
Sterman, Elmer and Alyce Green, Tom Budzynski, Joel Lubar, Valdeane Brown and
Eugene Peniston. Sterman (1969) was the first to recognize that cats operantly trained to
augment the amplitude of sensory motor rhythm (SMR) levels were able to preclude
chemically induced seizures, and cats without such training were not able to preclude
them. This finding played a significant role in the application of nonmedicinal methods
and procedures by psychotherapists in the treatment of seizure disorders in humans. In
addition, the finding suggested that if the autonomic nervous system could be relaxed to
such a degree that seizures were precluded, then this degree of ANS relaxation might also
L. DeLong, 111382 16
be useful in the treatment of stress related and neurogenetic disorders such as ADHD,
stuttering, Tourette syndrome and Raynauds disease.
Green and Green (1974) introduced the relationship between alpha/theta training
and accessing altered states of consciousness. That is, if an individual could comfortably
remain in the alpha/theta brainwave frequency, then a number of physiological
advantages were possible. As an example, a yogi from India was locked in an airtight
three by three-foot box, in the lotus position, for a period of eight hours. The yogi did not
suffocate because his breathing rate slowed to less than four breaths per minute, he
vasoconstricted from his extremities and, during this time, he produced alpha brainwaves
almost continuously. In another report that may demonstrate the psychotherapeutic
utility of alpha/theta training, when a theta mode of 4.5-7.5 hertz was maintained,
subjects were able to enter an altered state that could promote the emergence and
therapeutic release of negative, repressed childhood memories, or the appearance of
archetypal images that would offer subjects useful, life-changing advice (Budzynski,
1999).
Budzynski (1973) is remembered for his ‘twilight learning’ experiments, and for
his study of cognitive abilities associated with the theta state. He discovered that as
individuals grew drowsier, their brain waves gradually shifted from high-amplitude alpha
to low-amplitude theta--the ‘twilight state’ (4.5-7.5 hertz). Budzynski reported that
subjects learned more quickly when the material was presented to them while they were
in the ‘twilight state’. Later, Budzynski (1978), created the Twilight Learning System.
In this system, prerecorded information was presented that got louder as subjects reached
L. DeLong, 111382 17
the theta state, in order to prevent them from falling asleep (Robbins, 2000). Subjects
remained relaxed during the learning process and demonstrated higher retention levels as
a result.
Lubar (1972) pioneered studies in modifying sensory motor rhythm (SMR) levels
to preclude seizures, and he demonstrated that there are differing theta/beta ratios among
attention deficit disorder and non-attention deficit disorder populations. In the mid-70's,
he pioneered the application of neurofeedback training in the treatment of learning and
attention problems. Later, he suggested that benefits obtained through neurofeedback
might be long-term for many and, in some cases, permanent (Lubar, et al., 1995).
Peniston (1989), a researcher in alpha/theta training, found that depression and
poorly synchronized brainwaves were associated with alcoholism and post traumatic
stress disorder (PTSD). According to Peniston, using neurofeedback for prolonged
periods of time resulted in relief from depression, established synchronization of
brainwaves, and decreased the relapse rate. Regular, daily relaxation training was shown
to be more effective than traditional treatment methods (Robbins, 2000).
Researchers Boyd and Campbell (2000) reported on the efficacy of neurofeedback
as a treatment of ADHD students in a public school setting. In this study, an immediate,
audio-visual display of EEG biofeedback of the intensity and amplitude of brainwave
frequencies were presented to subjects in the form of Hz levels. Subjects were able to see
and hear their cortical activity as it was being measured. This immediate feedback
strengthened the abilities of these ADHD subjects not only to maintain, but also to
reproduce particular and more productive brainwave frequencies. It has been
L. DeLong, 111382 18
demonstrated that students with ADHD, who have acquired the ability to alter their
brainwave activities, can maintain frequencies that allow them to focus and pay attention
in class (Brown, 1997).
The neurophysiological response to stress includes a variety of distinct features.
Brown (1997) introduced an EEG neurofeedback protocol that he used to teach subjects
to respond to stress-provoking stimuli in a manner that was relaxed, instead of the typical,
autonomic nervous system fight-flight response. Features characteristic of stress-related
disorders, such as sleep problems, migraine headaches or attention difficulties can
negatively effect the ability of an individual to learn. In a neurofeedback treatment study,
within six to ten sessions of neurofeedback for the treatment of sleep disorders, each of
those treated demonstrated improved sleeping habits. Improved sleeping habits can
contribute to improved concentration. (Hughes, 1999).
Using beta brainwave training, Siegfried Othmer found average increases
in IQ of up to 23 points for subjects with IQ's greater than 100, and up to 33 points for
subjects with IQ's less than 100. Clearly, the Othmer, Lubar, and Greens studies have
demonstrated the potential improvements in cognition and areas of retention with the use
of neurofeedback (Kennerly, 1996).
Neurophysiological Disorders
It has been found that in those diagnosed with ADHD, information designated for
the declarative memory system in the brain apparently does not follow the same neural
pathway as it does for those without ADHD (Carter, 1998). For normal individuals,
signals are first assimilated into the thalamus, then the amygdala, the hippocampus, and
L. DeLong, 111382 19
finally to the frontal lobes of the brain, where nontraumatic data or memories are stored
in story format. Those with ADHD tend to store nontraumatic data or memories in an
iconic format and by a different route. That is, signals are first assimilated into the
thalamus, and then to the amygdala, where certain stimuli are given significance by
means of varying degrees of intensity of emotion associated with that signal. Upon
reaching the hippocampus, however, the signals appear to be sent to the parietal and
occipital lobes, instead of the frontal lobe, and stored in an iconic format (Van der Kolk,
1993). It may be that when ADHD learners demonstrate low frequency, desynchronized
activity in the frontal lobes, they may actually be accessing the iconic memory area.
Accordingly, those with ADHD or other language disorders may have greater difficulties
remembering information, as compared to those without such disorders, when they are
being taught in a traditional, story-book format.
Using SPECT scans, Amen (1997) consistently found that 65% of those in the
ADHD study group demonstrated decreased perfusion in the prefrontal cortex when
subjected to intellectual stress, while only 5% of those in the control group experienced a
decrease. Lubar and Amen (1997), using both quantitative EEG and SPECT scans
showed that hypoactivation of the prefrontal lobes and medial central cortex tends to
regularly occur, particularly during intellectual or academic stress tasks. They also found
that as those with ADHD attempt to increase their level of concentration or performance,
their cortical metabolism tended to decline. Comings (1997) using a form of stress
management, appears to have created physiological changes within the brain that
produced concomitant improvements in learning. The learning improvements, he
L. DeLong, 111382 20
believes, is a function of "having some control over stress prevents it from having an
untoward effect on the brain dopamine receptors.”
Evidence from electroencephalogram research suggests that those studied who
had slowing in the right prefrontal lobes showed difficulties with impulse control and
inappropriate actions in social situations, but good organizational skills. Conversely,
those studied who had slow frequencies in the left prefrontal lobe showed poor
organizational skills, but behaved more appropriately in social settings. The research also
noted that children with right posterior parietal slowing were lethargic, hypoactive and
often complained of being bored (Lubar 1999). In another study, individuals diagnosed
with ADHD were found to have excessively slow brainwave activity (Lazzaro et al
1999). That is, alpha /theta waves predominated while their eyes were open, and while
they were attempting to be academically productive (Lubar, 1999). While their eyes
were open, they were also found to have excessively high midrange beta activity, a
condition thought to be indicative of hyperactivity or obsessive thinking (Brown, 1997).
These abnormalities in brainwave activity can inhibit productive learning, focused
concentration and behavioral self-control. An examination of more than 800 children
documented that the right side of the brain in boys with ADHD was 8% smaller than that
of boys without ADHD (Giedd, 1994). Also, those with ADHD, male and female, have
been shown to predominantly use the right hemisphere for learning (Stefanatos, 2001).
The right hemisphere, although superior for higher functioning thought processes, is not
ideal for rote memorization, the usual form of teaching in most educational systems
(Goldberg & Costa, 1991). To best benefit from the activities of the prefrontal lobe,
L. DeLong, 111382 21
where most cognitive learning takes place, it is imperative that both hemispheres are
stimulated simultaneously. Using audio-visual stimulation to accomplish this, Carter
(1995) found a significant improvement in both cognitive and behavioral functioning
among the subjects he examined.
Music as Therapy
In 1665, while working on the design of the pendulum clock, a Dutch scientist,
Christian Huygens found that when he placed two such clocks on a wall in close
proximity, and then started the swing of each of their pendulums at different rates, they
would eventually end up swinging at the same rate. In physics, this phenomenon is
known as vibratory resonance or resonant entrainment. Entrainment is the tendency for
two oscillating bodies to lock into phase in such a way that they vibrate in harmony or,
for two or more rhythmic cycles to eventually move into a state of harmonic synchrony.
The resonant entrainment of oscillating systems is a well-understood principle within the
physical sciences. For example, if a tuning fork designed to produce a frequency of 440
Hz is struck (causing it to oscillate) and then brought into the vicinity of a second 440 Hz
tuning fork, which is still and has not been struck, the second tuning fork will begin to
oscillate. The first tuning fork is said to have entrained the second or caused it to
resonate. Everything in physical reality vibrates. Light, color, sound, even molecules!
Entrainment as a phenomenon, manifests in all manner of physical events: from biology
to chemistry, and from astronomy to interpersonal relations. For example, among normal
and healthy couples during sleep, it is not uncommon for their hearts to pulse in
synchrony or for them to breathe in unison for intermittent intervals. Nor is it rare for
L. DeLong, 111382 22
such couples to experience simultaneous orgasms during their most intimate moments.
Similarly, in situations involving groups of women living in the same household, these
women, if they are attentive, frequently discover that their menstrual cycles eventually
begin to coincide (Larry Gindhart, Personal Communication, March 31, 2002).
Music, having everything to do with vibration and as a component of physical
reality mediated by the amygdala, can have compelling effects on the limbic system, the
most primitive portion of the human brain (Hoffman, 1997). Researchers from within the
discipline of music therapy have experimented with such things as increasing the speed
of the beat in pieces of music played to a group of factory workers that had the result of
increasing production. These effects also examined by researchers in the Muzak
experiments. These researchers have posited that particular psychoemotional experiences
can be created as a function of particular musical forms particularly having to do with
rhythmic tempo, tone and timbre, i.e., musical forms that cause patients to relax while
waiting for an appointment in a physician's office, or one that causes a group of strangers
in an elevator to feel calm (Charnetski 1998). Brainwave frequencies typically entrain, or
become vibrationally resonant. This is to say that they will slow down and come into
pace with slow-pulsed music when presented, accelerate and come into pace as a result of
experiencing a quicker beat, or even to become irregular, just as the heart becomes, when
presented with something like ghetto-style, rap music. Interestingly, there appear to be
other cognitive functions that can be influenced by musical attunement. One is the "The
Mozart Effect." This effect has been reported to enhance the capacity for spatial
L. DeLong, 111382 23
reasoning when music was generated at a 60 beat per minute interval (i.e., Mozart's
Sonata for Two Pianos in D Major) (Campbell, 1997).
It has been said, "As our world gets faster and more crowded, our music must get
slower and more spacious in order to make peace with the biological clock" (Lanza,
1994).
Neuroscience
Experimentation in the field of neuroscience has been conducted to discern not
only the relationship between learning and memory, but also ways in which interactions
between these processes might generate learning and memory problems, and then to
discover remedies that might ameliorate these difficulties. Filley, Cranberg, Alexander
and Hart (1987) found frontal lobe injury was associated with two separate deficit
patterns. The first pattern involved a state of over arousal that was characterized by
inattentiveness, irritability, hyperactivity, implusivity, inappropriate behavior and
aggressiveness. The second pattern involved a state of under arousal that was
characterized by apathy, lethargy, poor motivation, and social withdrawal. The prefrontal
lobe of the cerebral cortex is predominantly responsible for deliberate, intentional
planning (Miller, 1999). Neuro-cognitive specialists agree that it is imperative to access
the prefrontal cortex in order for productive thought to occur. Researchers have reported
that either alternately activating the prefrontal cortex of each hemisphere, or
simultaneously activating the prefrontal cortex of both hemispheres, will result in an
increase in cognitive abilities (Springer & Deutsch, 1993).
L. DeLong, 111382 24
Neural Plasticity
Dendritic arborization is the term for the process of the branching of dendrites
from the soma (or, the neuron body) and its connections, to other neurons. It is the
interconnectivity of the branching that defines its pattern of activation or its function.
Neural plasticity is the capacity for dendritic arborization to reoccur, to alter, to regrow or
to otherwise produce a new arborization after a localized event such as a stroke that may
have destroyed a local area of neurons or severed a local dendritic arborization due to
trauma. Dendrites are part of the neuron but they are not contained within cells. Instead,
they exist between cells and are the links and terminals through which neurons
intercommunicate (Levine, personal communication, 2002). Neuroscientists have
reported that they can discern changes in the brain's physical shape and size relative to
the extent of dendritic arborization in an individual (Jensen, 1999). Neuro-cognitive
specialists concur that by presenting a variety of stimuli in a learning context, such
diversity can enrich the production of dendritic arborization (Jensen, 1999). Kandel and
Hawkins (1992) presented a review of evidence that short-term synaptic changes
associated with simple forms of learning were accompanied by molecular modification of
neuroproteins.
Dominant vs. Holographic Hemispheric Functioning
The differential function of each of the hemispheres of the brain has been
extensively researched and discussed. These discussions have given rise to two notions:
1) that each hemisphere has distinct characteristics that make one more suitable for some
functions and not for others, and; 2) that one hemisphere will predominate over the other
L. DeLong, 111382 25
in service of optimally performing specific tasks. Springer and Deutsch, (1997) indicated
that the phenomenon of cerebral dominance exists because each hemisphere has its own
cognitive style. The cerebral dominance model of hemispheric functioning suggests that
although one hemisphere might be dominant at a particular moment in time, there is a
profoundly complex intercommunication-taking place between each of the hemispheres
such that each "knows" what is going on within the other. It is the corpus callosum, a
broad band of nerves interconnecting the two hemispheres, that provides this pathway of
hemispheric intercommunication to such an extent that "carbon copies" of the activities
of each hemisphere is transmitted to it's counterpart in a timely manner. The callosal
fibers are also utilized for one hemisphere to become dominant over the other, while at
the same time, keeping the nondominant hemisphere appraised of its activities (Talbot,
1992).
Cook (1984) recognized that a "mirror-image negative relationship" could exist
between the two hemispheres. In other words, "callosal homotopic inhibition allows the
'two brains' to momentarily hold different perspectives on the same information." In the
early 1970's, "Bribram found evidence that the visual system worked as a kind of
frequency analyzer, and since frequency is a measure of the number of oscillations a
wave undergoes per second, this strongly suggests that the brain might be functioning as
a hologram does" (Talbot, 1992). The holographic model of the brain suggests that the
hemispheres may operate simultaneously and in concert, instead of oppositionally, as the
cerebral dominance model postulates. If the whole brain can engage both hemispheres
L. DeLong, 111382 26
simultaneously, given functional hemispheric specialization, then holistic,
multidimensional thought can occur.
Stress, Brainwaves and the Learning Environment
Suppressed, asymmetrical brainwave activity, as shown through EEG
neurofeedback, is often detected in individuals who experience chronic stress (McIntyre,
Trullas & Skolnick, 1988). Suppressed brainwave asymmetry is indicative of a
disruption in cerebral homeostasis, characterized by an asymmetry involving higher
amplitude of cortical activity predominant to one hemisphere. Such asymmetry is often
associated with immune deficiencies. Individuals with such deficiencies tend to be prone
to migraine headaches, Raynauds disease, hypertension and sleeping disorders (Brown,
1998). Biofeedback and neurofeedback therapists have found that through
neurofeedback training, individuals with asymmetric, homeostatic disruption--
fundamentally, a stressed and imbalanced central nervous system--can learn to balance
the amplitudes of cortical activity in both hemispheres with the result of decreasing stress
and boosting the immune system.
Slow cortical activity (3-5 Hz) is generally indicative of emotional reactivity
(Brown, 1997). Symmetrical rhythmic surging, or bursts of uncontrolled cortical activity
sometimes accompanies low-frequency cortical activity. Such reactivity often manifests
as temper fits or emotional outbursts in individuals diagnosed with Oppositional Defiance
Disorder or Bipolar Disorder. Brainwave frequencies in the theta (4-8 Hz) range can
have similar untoward accompaniments. EEG studies have found that the same kind of
rhythmic surging noted above can also occur in the theta range. It is believed that when
L. DeLong, 111382 27
frequency surges of significant amplitude are dominant in the hippocampus prevalent
emotions of fear, anger, lust and jealousy are present. The hippocampus provides these
emotions and it is found beneath the temporal lobe, (Turkington, 1996). Behavioral
outcomes from these surges include patterns of aggression, low frustration tolerance and
exaggerated sexual drives. The hippocampus is the also the area of the brain that as
consistent controlled cortical activity occurs produces meditative states, tender emotions,
and creativity. In order for an individual to attain this controlled cortical activity it is
typically coupled with fast frequency gamma waves (38-42 Hz) present in the frontal
lobes, that stimulate attention, and conscious perception (Desmedt & Tomberg, 1994).
When the frontal lobe is suppressed, the primitive limbic system can become
predominately active. As stress increases, access to the pre-frontal cortex decreases and
is replaced by access to the limbic system. Taken together, these conditions result in a
marked lack of cognitive control (Caine & Caine, 1997). In summary, chronic stress can
inhibit the prefrontal cortex from becoming active (Mizoguchi et al., 2000). The frontal
lobe and the hippocampus control the autonomic nervous system (Restak, 1989). Slowed
brainwave activity, combined with reduced frontal lobe activity, inhibits the capacity to
learn and it produces a "fight or flight" response due to a perceived inability to cope. The
less activity there is in the pre-frontal cortex, the greater the feeling there is of being out
of cognitive control.
The heart pumps blood through the body at pulse rates and with corresponding
pressures that vary relative to prevailing circumstances. These phenomena parallel
activities in the brain, except that, instead of variations in pulse and pressure, the brain
L. DeLong, 111382 28
exhibits variations in oscillations of waveforms and frequencies. Writings in the science
of EEG neurofeedback have attributed particular states of consciousness to particular
ranges of cortical activity. The following is a summary of brainwave patterns, ranging
from the slowest to the most rapid, and the states of consciousness attributed to these
patterns as described in these writings (Robbins, 2001). Delta: 0.5-3.5 Hz. associated
with both deep and comatose sleep. Theta: 4.5-8.5 Hz. associated with cognitive over-
reactivity and archetypal imagery. Alpha: 8.0-11.5 Hz. associated with rapid eye
movement (REM) sleep, relaxation and engaged thought. Slow Beta: 12-18 Hz.
associated with a sensory motor response (SMR) indicative of accelerated learning, of
resting, and of alert awareness (Robbins, 2001). Beta: 15-38 Hz. associated not only with
anxiety and hyperactivity, but also with "drudging and mulling" (Brown, 1997). Shear
Beta: 38-42 Hz. associated with high levels of invigoration, stimulation and the creation
of new levels of conscious awareness (Vanderwolf, 2000).
Stressors can be considered equally as beneficial or detrimental depending on
perception. Stressors perceived as a challenge, or an urge toward positive development,
can have a stimulating, productive influence. Conversely, stressors perceived as so
threatening that they are beyond one's ability to cope, create a state of helplessness and
that causes a “downshift” into the brain stem, wherein resides the limbic portion of the
brain (Caine & Caine, 1997). The brain stem, which contains the primitive limbic
system, is the oldest and smallest region in the human brain. Medical science refers to
this 200 million year-old area of the brain in mammals as the mammalian brain, owing to
the mechanisms that make these entities, mammals and not reptiles. Evolutionary
L. DeLong, 111382 29
science, however, refers to this area in humans as the reptilian brain, because it is so
resembles the entire brain of present-day reptiles. The cells in the brain stem determine
the brain's general level of alertness and regulate the vegetative processes of the body
such as breathing and heartbeat. This area of the brain, although without the capacity for
language, nonetheless controls life functions such as the autonomic nervous system,
breathing, heart rate and the fight or flight mechanism. Lacking language, its impulses are
instinctual and ritualistic. The brain stem is fundamentally concerned with survival,
physical maintenance, hoarding, dominance, preening and mating. It is also concerned
with emotions, as it is the emotional part of the brain. It houses the amygdala,
hippocampus and the cingulate gyrus, all of which allow relatively direct and minimally
filtered access to memories and emotions (Turkington, 1996). For example, olfactory
sensory stimuli provide excellent examples of direct, minimally filtered access to
memories and emotions. The aroma from a particular recipe of freshly baked cookies,
the smell of new mown grass, the fragrance of a certain variety of flower can transport
one into vivid memories, replete with age-specific emotions contained within the
memory---from Grandma's kitchen, to cutting the lawn for the first time, to pinning on
flowers for the senior prom. Although the preceding examples are positive, for most
people, the process works in the same way for accessing negative memories and
emotional experiences. The mechanism is the same for both, but the content varies in
accordance with idiosyncratic associations.
Insofar as most educators do not have access to EEG neurofeedback data about
their students, they do not have access to the information described in the foregoing
L. DeLong, 111382 30
discussion that could be of aid to students who are struggling with their schoolwork.
Stress in the learning environment can range from being unable to recall information
when called upon to recite, to being unable to adequately form one's pre-verbal thoughts
into language. The classroom environment and the response of classmates to one's
difficulties often sets the scene, not only for the student's behavior and self-perception,
but also for which area of the brain, for better or for worse, is activated (Jensen, 1999).
Neuro-Cognitive Processing
The application of EEG neurofeedback, supported with language processing and
academic coaching, created an environment conducive to new learning as well as to
improvements in the retention and retrieval of learned information. These improvements
were documented by measures of neuropsychological, cognitive and neurophysiological
changes that included improved sleeping habits as early as the fifth session, and improved
retention capabilities, inner focusing abilities and gradual improvements in grades by the
20th session. According to most professionals in the field of EEG neurofeedback,
twenty-to-thirty sessions are generally required in order to establish effective
reconditioning (Brown, 1997).
The use of neuro-cognitive coaching in combination with EEG neurofeedback--a
guided form of brain training--is predicated on the notion that this combination can assist
students to achieve holistic, multidimensional patterns of thinking. For most people,
music predominantly stimulates the right hemisphere. However, if a piece of music is
accompanied by appropriate sound frequencies, preplanned rhythmic and dynamic
variations, the left hemisphere can be equally engaged with the result of a more wholly
L. DeLong, 111382 31
integrated brain response. One example of this is Monroe's Hemi-Sync process. Monroe
experimented with a variety of frequency signals that he subsequently codified and then
developed into sets of auditory frequencies that have been able to consistently produce
distinct, specific hemispherically synchronized states within those who listened to these
Hemi-Sync sound tracks. These tracks are comprised of music, and specifically designed
audio frequencies in combination with binaural beating (Atwater, 2001).
Once the configuration of an individual's optimal brainwave learning frequencies
has been accurately identified, by means of electroencephalogram neurofeedback and
neuro-cognitive processing measurements, rhythms, audio frequencies and dynamics can
be intentionally employed to modulate that individual's brainwave activity towards its
most efficient range.
L. DeLong, 111382 32
Chapter III
Methods, Procedures and the Meridian Academy of the Arts
Pedagogy is the art of educating. The pedagogical foundations upon which the
Meridian Academy of the Arts Elementary and Middle School was built came from
methodologies established by three innovative pioneers in the field of education.
The Meridian Academy of the Arts (MAA) was founded in 1988, by Lise’
DeLong (the author of this document). She crafted a curriculum derived from Maria
Montessori's approach of learning through hands-on experiences, to Rudolf Steiner's
approach of a student-directed creation of individualized curricula, to that of Shinichi
Suzuki’s approach of “learning through love.” To these three methodologies, DeLong
contributed a fourth. DeLong's approach was to create individualized learner curricula in
a stress-reduced, arts-based educational environment. Such an environment would
provide the latitude for learners to progress at their own individual rates and use styles of
learning characteristic to, and optimal for, their own, unique natures.
The educational environment at Meridian Academy has not been focused on
grades, tests, textbooks or competition. Instead, it was designed to instill sufficient levels
of self-confidence in learners that allow them to become intrinsically directed and
motivated. The reduction of stress in this learning environment has resulted in an
educational program that is rich in academic successes. Beyond this, the work of the
learners is self-directed and intrinsically motivated. Such internally driven
L. DeLong, 111382 33
accomplishments have given rise to remarkable levels of personal pride and high levels
of maturity among MAA learners.
Neuro-cognitive coaching coupled with EEG neurofeedback training in the
controlled learning environment, of Meridian Academy of the Arts were presented to
learners both with and without language disorders. It was proposed that a regimen of
neuro-cognitive coaching and EEG neurofeedback would be able to achieve the desired
“shift” from limbic system access to frontal lobe access, thereby stimulating the
amygdala and hippocampal regions of the brain and providing a fertile foundation for
academic growth.
The purpose of this study was to ascertain any measurable differences in
academic outcomes for two groups of learners enrolled in a creative arts educational
setting that utilized a self-directed, stress-reduced, and individualized curriculum. One
group would receive EEG neurofeedback and neuro-cognitive coaching while the other
group would not. Twenty-four learners were randomly selected from the body of
enrollees at MAA, and then randomly assigned to one or the other of the study groups.
The Meridian Academy has established a learning environment that is
noncompetitive, and a curriculum that is non-tested and non-graded. Such a curriculum
is defined by Caine (1997) as stress-reduced. All learners in this study participated in
MAA's stress-reduced, arts-based learning environment that included music, dance,
drama, literature, and the visual arts. Half of the learners received EEG neurofeedback
and neuro-cognitive coaching in an individualized, one-on-one therapy program.
L. DeLong, 111382 34
In this study, the methods used for neuro-cognitive coaching included playing
auditory processing, visual processing, language comprehension (both verbal and
receptive), and eye-hand coordination games. Visual and auditory processing have been
consistently documented as areas that neurofeedback can enhance. Similarly, levels of
improvement can also be expected in memory, concentration, focus and listening skills.
The Neuro-Cognitive Coach:
A neuro-cognitive coach utilizes a specific protocol and adjusts its content
within each session according to the cognitive needs of the learner. This approach can be
thought of as an ongoing process of interactive, therapeutic analysis.
Experimental Group Control Group
MAA with Additional Cognitive MAA without Neuro-Cognitive Coaching &
Games, Neuro-Cognitive Coaching Neurofeedback
& Neurofeedback
Comparison of Groups
Common to Both Groups
Brain Gym Activities Association Games
Auditory Sequential Memory
L. DeLong, 111382 35
Exclusive to the Neurofeedback Group
Auditory Reception Games Semantics Games
Pragmatic Games Specific Reading Activities
Sign Language Visual Memory Games
Specific Phonological Games Stress Reduction Techniques
Music Therapy Activities Hemi-Sync, Binaural Beats CD
Research Design
Population:
The population of the study was a random sample of twenty-four learners with
and without Language Disorders, from the private school, Meridian Academy of the Arts.
All twenty-four study participants attended classes with the following
characteristics: 8-10 students per multi-age and multi-academic level classroom, a self-
directed curriculum with facilitator supervision, an individualized academic program, and
non-graded and non-tested learning activities derived from individual interests and
adapted to each learner's developmental skill level.
Data were collected on the performance of all of the learners in each of the groups
as they participated in MAA's stress-reduced, creative arts curriculum. Data collected
from the performance of participants in the EEG neurofeedback and neuro-cognitive
coaching group was compared to data collected from the performance of participants who
did not experience EEG neurofeedback or neuro-cognitive coaching. The following
conditions were taken into account in the process of evaluating the data. A random
L. DeLong, 111382 36
sample of twenty-four study participants was selected from the total of thirty learners
who were enrolled at The Meridian Academy of the Arts in Greenwood, Indiana.
Standardized tests were administered in order to measure changes in specific
areas of language development including auditory and reading skills, and to evaluate
global improvements in academic achievement. The findings from these tests were
evaluated for the purpose of discerning whether or not any significant differences in rates
and levels of language development or academic achievement occurred between the two
groups during the course of this study.
Hypothesis
The following hypothesis was formulated to guide the analysis and to direct the
treatment of the problem.
Learning in two designated language areas (reading and listening) as well as
overall improvement in academic achievement will be significantly higher for learners in
a creative arts curriculum who are exposed to neuro-cognitive coaching and EEG
neurofeedback than it will be for other learners, in the same curriculum, who are not
exposed to neuro-cognitive coaching and EEG neurofeedback.
L. DeLong, 111382 37
Basic Assumptions
1. Participants in the EEG neurofeedback and neuro-cognitive coaching group can
learn to shift their brainwave frequencies from an undesired alpha/theta state to a
desired beta state in a manner that is consistent and under their own voluntary
control.
2. Performance in the classroom learning environment will reflect greater
improvements for the neuro-cognitive coaching and EEG neurofeedback group,
when compared to performance of the control group. This difference will be
attributed to their improved ability to focus and to concentrate as a result of being
exposed to neuro-cognitive coaching and EEG neurofeedback. Performance
differences between the two groups can be measured by standardized tests.
3. Neuro-cognitive coaches can utilize specific activities during their sessions with
study group participants that are known to produce desired beta brainwave states
and, by these means, facilitate the likelihood that these participants will achieve
their educational objectives.
Limitations
The statistical significance of the findings from this study was difficult to
determine due to the small sample size (N=24). It was determined that a larger study
group would have provided a more comprehensive body of data that would have resulted
in a greater degree of statistical significance, (see p. 57). During the course of this study,
Meridian Academy of the Arts Elementary / Middle school had an uncharacteristically
low enrollment in the upper grades. Enrollment was higher than usual in kindergarten
L. DeLong, 111382 38
and first grade. Accordingly, there was an increase in younger study participants than
initially expected, particularly during the second semester of the research, in the
neurofeedback study group.
For both semesters, the ages for all study participants ranged from 6 to 15. The
mean age for all semester 1 participants and for all semester 2 participants was 9. The
mean age for the neurofeedback group was 10.12 for semester 1 and 8.7 for semester 2.
The range for this group was: 7 to 15 for semester 1 and 7 to 10 for semester 2. The
mean age for the control group was 7.8 for semester 1 and 8.2 for semester 2. The range
for this group was: 6 to 13 during both semesters.
MAA is located in a growing rural area, just south of Indianapolis, Indiana.
Although there was little socioeconomic diversity among those enrolled (because MAA
is the most expensive private school in the area), there was moderate ethnic diversity.
Purpose of Study
The purpose of this pilot research was to document changes in academic
outcomes related to changes in brainwave frequencies among participants in an EEG
neurofeedback and neuro-cognitive coaching group who would learn to consistently shift
their brainwave frequencies from an undesired alpha/theta state to a desired beta state in a
manner that was under voluntary control.
Outcome Measures
Academic and behavioral performance outcomes were measured for participants
in the study group, who were exposed to neuro-cognitive coaching and EEG
neurofeedback, and for participants in the control group who were not exposed. The
L. DeLong, 111382 39
architecture of the study was based on the rationale that employing a creative arts
curriculum, augmented by EEG neurofeedback and language process coaching would
supplement the educational experience of the broad range of elementary and middle
school-aged learners who participated in the study group.
a) The study group received EEG neurofeedback training and neuro-cognitive
coaching that included listening to Hemi-Sync, binaural beating CD's, in addition
to the academic methodology of the Meridian Academy of the Arts.
b) The control group received only the academic methodology of the Meridian
Academy of the Arts.
(Human Informed Consent form- Appendix B)
Medication:
Medication usage was monitored and documented. A decrease in medication use
was charted as the study progressed. Only one study participant, however, was on
medication.
Gender:
There were equal numbers of female and male participants.
Other Therapies:
Students were restricted from participating in any other type of therapy during the
research period. This restriction applied particularly to: auditory integration therapy,
vision therapy, FastForward therapy, speech and language therapy, cranio-sacral therapy
and light and sound therapy.
L. DeLong, 111382 40
Profile:
Table 1 Profile Matrix by Gender, Age, Semester and Special Needs
First Semester Second Semester
Gender Special Needs Age Gender Special Needs Age
NF-Male Yes 10 NF-Female 9
NF-Female 7 NF-Female Yes 7
NF-Male 12 NF-Male Yes 9
NF-Female 10 NF-Male Yes 9
NF-Male Yes 15 NF-Female 8
NF-Female 7 NF-Male Yes 10
Con-Female 6 Con-Female 7
Con-Male 6 Con-Male 11
Con-Female 6 Con-Female 11
Con-Male 10 Con-Male 8
Con-Female 6 Con-Male 6
Con-Male 13 Con-Female 13
NF = neurofeedback group
CON = control group
L. DeLong, 111382 41
Table 2 Study Concept Model
Scheduling for Research Application
First Semester
Second Semester
3 girls & 3 boys with neuro & coaching
3 girls & 3 boys with neuro & coaching
3 girls & 3 boys w/o neuro & coaching
3 girls & 3 boys w/o neuro & coaching
Method of Random Selection
1.) The names of all thirty children enrolled in MAA, ages five through fifteen years
were placed in two containers, one for each gender.
2.) An objective person was chosen to select the names of potential study participants
from the two containers. Each of the gender specific containers held the names of
fifteen children.
3.) The first six names drawn from the female gender container were assigned to the
study group. The second six names were assigned to the control group. The
remaining three names were held as alternates.
4.) This procedure was duplicated for the names in the male gender container.
5.) All study participants were given numeric identities. Names were not used to
identify study participants.
L. DeLong, 111382 42
6.) For any child who needed to withdraw from study participation, the name of
another child of the same gender was selected as a replacement from the
alternates in this same manner. One male participant did withdraw during the
semester break due to his family relocating. Accordingly, an alternate was
selected as a replacement.
Instruments: The following instruments were utilized for data collection in this study.
Table 3. The Pre/Post Rating Instruments
BASC - Behavioral Assessment System for Children
Woodcock Auditory Discrimination - 2 subtests
ITPA - Illinois Test of Psycholinguistic Abilities - 3 subtests
Key Math - AGS
PPVT-III -Peabody, Revised III
Woodcock Reading Mastery Test- 3 subtests
L. DeLong, 111382 43
Descriptions of Instruments
BASC- Behavioral Assessment for Children Monitor for ADHD
The BASC monitor is an assessment designed to survey the primary symptoms of
ADHD in a format that supports repeated assessments. The system is primarily used with
children ages 4-18 and it has several components. The component used in this study was
a brief rating scale of a child's observable behaviors. This scale is designed for two
applications, one for teachers to complete and the other for parents to complete. The
scale takes into account four areas of behavior: Attention Problems, Hyperactivity,
Internalizing Problems, and Adaptive Skills.
The BASC Monitor System is primarily used for treatment purposes. It provides
psychologists with information that can be used in making decisions as to whether the
pharmacological treatment for the child is working or whether it needs to be adjusted.
This monitor system was designed to coordinate medical and nonmedical treatments, and
to provide courses of helping strategies for treatment providers and caregivers, including
teachers, physicians, clinicians and parents in their efforts to assist the child.
The scoring of measurement or assessment is as follows: T scores between 41 and
59 are considered Average; those from 60 to 69 are considered At Risk; and the T scores
of 70 and above are considered Clinically Significant. “The scores are reversed on the
Adaptive Skills scale, where a low score indicates the absence of positive behaviors. The
size of a difference required for statistical significance is a function of the T-score
standard error on that scale: the smaller the standard of error, the smaller the difference
must be to be significant” (Kamphaus et. al., 1997).
L. DeLong, 111382 44
Goldman-Fristoe-Woodcock Test of Auditory Discrimination
The Goldman-Fristoe-Woodcock Test of Auditory Discrimination was designed to
provide measures of speech-sound discrimination ability. Created by Goldman, Fristoe,
and Woodcock, the test was designed for use with individuals aged 4 through adulthood.
The test is comprised of three parts: the training procedure, the quiet subtest, and the
noise subtest. The training procedure familiarizes the subject with the test's word-picture
associations. The quiet subtest provides a means of evaluating the acuity of auditory
discrimination in the absence of background noise. The noise subtest evaluates the acuity
of auditory discrimination in the presence of distracting, background noise.
This test simulates the speech-sound discrimination demands of real life. The
subject is presented with a set of four pictures, where the names of each of the things
depicted differ by only one phoneme. The subject selects one of the four pictures by
saying its name. The distinctive sounds of the names of items pictured were classified
according to four qualities of speech: voicing, stop, nasality and place of articulation.
The quiet and noise subtests include six test words selected from the following: voiced-
plosives, voiced continuants, nasals, unvoiced plosives and unvoiced continuants.
The test construction standardization sample was n=745 subjects, with an age
range of 3 to 84 years. The results were documented by age, sex and type of test.
Reliability factors were established using the spilt-half method and corrected using the
Spearman-Brown formula for the internal-consistency. The test-retest reliability
correlation was .87 for the quiet subtest and a .81 for the noise subtest.
L. DeLong, 111382 45
Illinois Test of Psycholinguistic Abilities-revised edition
Kirk, McCarthy and Kirk were the authors of the ITPA; a test whose purposes are
dual. On one hand, the ITPA was designed to serve as a tool for differentially diagnosing
learning problems, and on the other, as a device to aid in creating remediation strategies.
This test examines three distinct dimensions of cognitive abilities: channels of
communication, psycholinguistic processes, and levels of organization. It also examines
auditory discrimination competencies in several areas: the auditory decoding of auditory
symbols, the auditory decoding of verbally presented information, and the auditory
decoding of auditory-vocal associations.
The ITPA includes twelve subtests; Auditory Reception, Visual Reception, Visual
Sequential Memory, Auditory Association, Auditory Sequential Memory, Visual
Association, Visual Closure, Verbal Expression, Grammatic Closure, Manuel Expression,
Auditory Closure and Sound Blending. The test uses auditory association, reception and
memory to determine whether or not auditory processing improvements have taken place.
The auditory association component provides an index of general knowledge associations
by means of such items as: "A daddy is big; a baby is ______," or "Years have seasons;
dollars have_____." The auditory reception component indicates the extent to which
aural information is correctly perceived by means of posing questions like: "Do bricks
float?" Or, "Do mute musicians vocalize?" As with many tests, the level of difficulty
increases as the test subject progresses through the tasks. Another of this test's indices, of
importance to this study, is auditory sequential memory. This index asks the question,
"how many digits of information can the test subject hear, retain, and then verbally
L. DeLong, 111382 46
recall?" Digits are read aloud without purposeful voice inflection. Auditory sequential
memory served an important role in providing an understanding of study participants’
abilities in short-term memory, perception of auditory detail and organization of
information recall.
Key Math revised (nu)
Developed by Connolly, the Key Math test has three major components; basic
concepts, operations and applications. Each of the components has several subtests. The
basic concepts component is comprised of numeration, rational numbers and geometry.
The operations component is made up of addition, subtraction, multiplication, division
and mental computation. The applications component is comprised of measurement,
time and money, estimation, interpreting data and problem solving. The total test score is
determined by tallying results from all of the subtests and comparing this score to test
scores of others at the same age and grade level as the test subject. The total test score
was formulated through "standard scores (mean of 100, standard deviation of 15), grade
and age equivalency scores, percentile ranks, stanines, and normal curve equivalents
NCEs" (KeyMath, 1998).
Key Math used a split-half internal consistency reliability estimate by
correlating odd and even items. These estimates were then corrected using the
Spearman-Brown correlation formula for the full-length test forms. For the areas
of the total test, internal consistency reliability were computed using Guilford’s
(1954, p.393) formula for determining the reliability of a composite.
L. DeLong, 111382 47
The Key Math test was normed on students ranging from kindergarten through
grade 12 for a total of n=3,184. Gender was evenly split between girls and boys.
Socioeconomic status was determined by parental education and compared to U.S.
averages. Race and ethnicity factors were derived from census data collected by the U.S.
Census Bureau and classified according to a stratified sample of African-American,
Hispanic, White, and others. The sample was designed to approximate the distribution of
socioeconomic status within each racial or ethnic group in the U.S. population.
Peabody Picture Vocabulary Test, Third Ed. (PPVT-III)
Dunn, and Dunn developed the Peabody Picture Vocabulary Test. The PPVT-III
was used to measure proficiencies in nonverbal comprehension. This test is especially
useful because the results it shows are not diminished if the test subject happens to have a
language disorder. For this study, it was imperative to have access to an achievement test
that would offer a means of evaluating study participants without the biases resulting
from language disorders. The PPVT-III measures vocabulary in response to sets of four,
distinct pictures. The test measures auditory reception, association, memory, attention
and discrimination. Test validity was established for two functions; as a test of
achievement test and as a test for screening intellectual functioning. Correlation was
used in the validity study for the PPVT-III during the process of standardization.
Standard deviation scores were corrected for validity using Guilford's formula (1954,
p.382). Correlations were derived from counterbalancing the PPVT-III against the
Wechsler Intelligence Scale for Children, the Kaufman Adolescent and Adult Intelligence
Test, the Kaufman Brief Intelligence Test, and the Oral and Written Language Scales.
L. DeLong, 111382 48
The Woodcock Reading Mastery Test- Revised
Woodcock, developed this test in 1987, with a variety of subtests and
opportunities to score at four basic levels; analysis of errors, level of development,
quality of performance, and standing in a group.
In this study, measures were derived from levels of development indicated by
raw scores, Rasch ability scores (test W scores, subtest part scores, and cluster W scores),
and grade and age equivalencies.
Internal consistency of reliability coefficients indicates the degree of item
homogeneity within a test instrument. Reliability statistics were calculated using the
split-half procedure and were corrected for length with the Spearman-Brown formula.
Raw scores on the odd and even items were used in the split-half coefficient calculations.
The content of the test was chosen so each item was an open-ended, free-response in
order parallel reading in real-life situations. This method of response also eliminated
"guessing" as a confounding factor in test validity.
Protocol:
The protocol used in this study was taken in part from Brown's Five Phase Model
of Functional Central Nervous System Transformation (1997). In the study, the protocol
began with a pre-test of the summation of neuronal activity; fifteen seconds eyes open,
and fifteen seconds eyes closed. Assessments were conducted using the Stens, Multi-
trace EEG neurofeedback system and Biograph ProComp tools. In accordance with the
International 10-20 system of electrode placement, a bipolar technique was utilized with
L. DeLong, 111382 49
the active electrodes on C3 and C4, with both reference at Fp1 and the ground on the ear
lobes. The electrode site was attached with Ten20 conductive paste for adhesive
purposes while using brass standard cup electrodes.
The protocol was individualized to each participant's cognitive, behavioral or
physical needs. This particular protocol gave the technician the latitude to make changes
in the EEG neurofeedback experience during sessions, based on behaviors reported by
parents, by teachers or by the researcher. Therefore, if sleeping problems were reported,
then a fractionation of SMR and beta work would be repeated. If lethargy or a lack of
focus was reported, then shear beta was warranted. Thus, a specific program was
developed for each session depending on the participant's experiences and reported
outcomes resulting from neurofeedback. Cognitive games and language-based activities
were also modified for each session as participants learned new concepts and overcame
difficulties.
Brown's protocol was arranged in the following manner and it served as a sample
from which individualized programs were designed:
L. DeLong, 111382 50
Table 4 Matrix Menu of Three Separate Periods Used in EEG Neurofeedback
Therapy
Protocol Matrix
Period One 5 minutes SMR training 5 minutes beta training
Period Two 20 min. Alpha w/ eyes closed
Hemi-Sync Music
20 min. eyes open beta
cognitive processing activities
Period Three 10 minutes Aura eyes open
cognitive processing activities
10 minutes Sheer Beta
cognitive processing activities
Period One: Symptom resolution through re-establishing circadian rhythms:
Pre/post-sample
Five minutes of SMR
Five minutes of beta (alternate between SMR and beta for a total of three cycles)
Period Two: Self-integration through profound relaxation:
Pre/post-sample
Twenty minutes alpha, eyes-closed training (Monroe Institute, Hemi-Sync Music)
Twenty minutes beta, eyes-open training (language processing activities)
The learners with difficulty sustaining eyes in a closed position for twenty to thirty
minutes due to age, attention, or maturity continued Period 1 work rather than enduring
prolonged frustration of eyes closed relaxation techniques.
Period Three:
L. DeLong, 111382 51
Pre/post-sample
Ten minutes aura screen, eyes open,
Ten minutes shear beta, eyes-opened, (language processing activities)
Collection of Data
The following intake forms were given to the families for our files.
Table 5
Intake Forms
Behavior Assessment System for Children
Confidentiality Form
Consent to Treatment Form
Developmental Questionnaire
Home Situations Questionnaire
Informed Human Consent Form
Permission for Research
A three-hour testing and evaluation session that involved academic and behavioral
assessments, using the instruments discussed above, was conducted prior to commencing
EEG neurofeedback training. The protocol, individualized and adapted on a session-by-
session basis, was utilized in twenty-five sessions of therapy. All measurements were
taken in a private testing room at the school. The instruments employed were designed to
L. DeLong, 111382 52
measure progress, or lack thereof, in the areas of auditory processing, implusivity,
concentration, focus, and global academic development.
Treatment of Data
A secured computer database was used to store baseline and other pertinent
information. The utmost care was taken to record information with regard to both
privacy and accuracy. The data and scores were then compared for the semester 1 and 2,
study and control groups. Comparisons were derived solely from the data collected, and
scored with the required statistical support and documentation. The matrix of statistical
analysis includes data entry units from twenty-four study participants and, for each
participant, the results from each the five test instruments and associated subtests.
Parents were given an opportunity to view their child’s progress from pre- to post-
test. The complete findings from this research, however, will not be shown to either the
participants or their parents until it has taken final form, and is published.
L. DeLong, 111382 53
Chapter IV
The Analysis
The statistical analysis of the data gathered in this study examined a number of
variables. A three-way analysis of variance was performed to determine the effects of:
the variables that were intrinsic to the design of the study, i.e., group (control, or study),
semester (1, or 2), and special needs (yes, or no), and to determine the effects of
differences between pre- and post-test findings for each of the 10 outcome variables that
were fundamental to the architecture of this study. These outcome variables include:
Auditory Discrimination Quiet, Auditory Discrimination Noise, ITPA Reception, ITPA
Memory, ITPA Association, Peabody, Key Math, Woodcock Word ID, Woodcock
Attack, and Woodcock Comprehension.
L. DeLong, 111382 54
Table 6
The Statistical Matrix for the Identification of Three-Way Analysis of Variance
Statistical Matrix
Group
Semester
Special Needs
Auditory Discrimination Quiet
Control
Neuro
1st
2nd
Yes
No
Auditory Discrimination Noise
Control
Neuro
1st
2nd
Yes
No
ITPA - Reception
Control
Neuro
1st
2nd
Yes
No
ITPA - Memory
Control
Neuro
1st
2nd
Yes
No
ITPA - Association
Control
Neuro
1st
2nd
Yes
No
Peabody
Control
Neuro
1st
2nd
Yes
No
Key Math
Control
Neuro
1st
2nd
Yes
No
Woodcock Word Identification
Control
Neuro
1st
2nd
Yes
No
Woodcock Word Attack
Control
Neuro
1st
2nd
Yes
No
Woodcock Word Comprehension
Control
Neuro
1st
2nd
Yes
No
This matrix divides the data into four subgroups. "A" designates the
Neurofeedback study group and "C" designates the control group. "A1" designates the
semester 1 group and "A2" designates the semester 2 group. The participants are
designated as number "1" through number "24."
L. DeLong, 111382 55
If semester and group variables were not statistically significant at the 0.05 level,
then a two-sample t-test was performed to test for the effect of the group variable on the
difference between the pre- and post-test scores. If the variables of either semester or
special needs were significant, using the two-sample t-test, then a two-way ANOVA
analysis was performed that would include only the significant predictor and the group
variable.
Table 7 The Three-way Analysis of p-values for Group, Semester and Special
Needs
Difference
Test
Special Needs p-value
Semester p-value
Group p-value
Auditory Discrimination Quiet
t-test
C
C
0.9017
Auditory Discrimination Noise
t-test
C
C
0.0046*
ITPA Reception
t-test
C
C
0.2847
ITPA Memory
t-test
C
C
0.2349
ITPA Association
t-test
C
C
0.7060
Peabody
t-test
C
C
0.0600
Key Math
2-way ANOVA
C
0.0033*
0.0740
Woodcock Word ID
2-way ANOVA
0.0115*
C
0.1895
Woodcock Word Attack
t-test
C
C
0.0873
Woodcock Word Comprehension
t-test
C
C
0.1550
• = Significance with p>0.05
L. DeLong, 111382 56
• Table 8 Mean Improvement in Scores by Group
Results Achieved:
L. DeLong, 111382 57
A three-way analysis of variance was performed to identify the level of statistical
significance in each of the areas examined. The limited sample size (n=24), was found to
be insufficient for the purpose of showing statistical significance in all areas of interest.
Therefore, a two-sample t-test was employed in the analysis. Regarding the study
constituent of auditory discrimination noise, this test indicated a substantial improvement
in the Neurofeedback group versus the control group. Through statistical analysis of the
parameters involved in the entire study, it was determined that a minimum sample size of
(n=48) would have been needed in order to have documented significant statistical
findings in the areas of cognition, reading and auditory processing.
The table illustrating mean improvement by group (Table 8) depicts the mean
value represented for each of the ten assessment instruments used in this study. The
auditory processing tests; Goldman-Fristoe-Woodcock Test of Auditory Discrimination
(noise and quiet subtests in particular), and the ITPA reception, memory and association
tests, showed substantial educational gains for members of the study group. These tests
measure the cognitive receptive processing skills that are responsible for the
comprehension of aurally presented information. Cognitive receptive processing skills
are also involved in cognizance of letter order in spelling, the order of words in grammar,
in executing the flow of a set of instructions or directions and in the organization of
thinking. The neurofeedback group increased in these auditory skills by a factor of 2.90
over the control group. This factor indicates a 290 percent increase in listening skills for
the study group, as compared to the control group.
L. DeLong, 111382 58
In the area of reading skill development, this study shows that the EEG
neurofeedback group increased their performance by a factor of 1.62 or 162 percent over
the control group. The areas of reading that were examined included word identification,
word attack and word comprehension. The Woodcock Reading Mastery Test has 6
subtests. In this study, we were concerned with the subtests that showed the greatest
promise towards revealing overall reading abilities: word identification, word attack and
word comprehension. Improvements in word identification scores were indicative of
improvements in the ability of participants to comprehend written vocabulary.
Improvements in word attack scores reflect the ability of the participant to discern, and
filter out, nonsense words. Improvements in word comprehension reflect an increase of
context specific knowledge of words and their meanings. The comprehension subtest did
not show that the gestalt of the story was comprehended, instead, it showed that site-
specific words were being comprehended. The strong gain made in this area suggests
that a significant opportunity may exist for remediating illiteracy by means of the
techniques utilized in this study.
The Peabody Picture Vocabulary Test (PPVT-III) measured global achievement.
Results from this measure showed an overall global achievement increase in the
neurofeedback group by a factor of 3.41; a rate that is equivalent to a value of p=0.0600.
These figures represent an increase for the neurofeedback study group of 341 percent
over the control group, and indicate a substantive educational improvement in a period of
only ninety days. The level of results obtained when taking this test depends upon
concentration levels and auditory processing skills. Therefore, it can be postulated that as
L. DeLong, 111382 59
auditory processing skills improved, and as mental concentration levels became more
focused, participants in the study group were able to demonstrate considerable
improvements in global achievement.
Math scores for the study group increased only by a factor of 1.57 or 157 percent,
when compared to scores obtained by the control group. Improvements in math scores
are often associated with improvements in global achievement. It is likely that this blend
of improvements is related to developing the problem solving and reasoning skills that
are demanded as a function of performing mathematical tasks.
Mathematical achievement or lack thereof is highly dependent upon the level of
stress experienced by learners in the classroom. It has been demonstrated that the frontal
lobe performs the “executive function” skills that are associated with solving
mathematical problems. Unfortunately, stressed learners tend to “downshift” away from
frontal lobe access. Such a shift is antithetical to gaining access to the part of the brain
needed for solving mathematical problems. In this study, both the study and the control
groups showed improvements in math scores. The margin of increase between the study
and control groups was not substantive. This result suggests that, the comparable gains in
math scores for both groups may be related to both having participated in a stress-reduced
learning environment.
Three participants in this study had been previously diagnosed as having learning
disabilities. Three additional participants, as a result of study involvement, were found to
display a variety of conditions associated with special needs groups. Because of this
finding, a two-way ANOVA analysis was performed on the data to determine the effect
L. DeLong, 111382 60
of the substantial number of special needs participants in this study. The effect was
found in the Woodcock Word Identification score difference (p=0.0126). All other p-
values were greater than 0.40. When comparing the groups by semester there was
significance when predicting the Key Math difference in scores (p=0.0048). All other p-
values were greater than 0.05. The only score affected by group was the Auditory
Discrimination noise score (p=0.0046). The difference in the scores was greater for the
neurofeedback group than for the control group.
The BASC monitor was completed by 19 of the 24, or 79 percent of the study's
participants. The mean scores for the control group in the areas of attention,
hyperactivity, internalizing and adaptive skills, were actually lower on the post-test than
on the pre-test. Table 9 illustrates these results.
Table 9 Comparison of BASC Monitor
Control Group
L. DeLong, 111382 61
Neurofeedback Group
Table 9 illustrates the mean difference among the nine participants in the control group
who completed the BASC monitor documents and the 11 participants in the
neurofeedback study group who completed these documents. It was expected that the
elevations in the first three categories--attention, hyperactivity and internalizing--would
decline to signify improvement, while the forth category--adaptive--would increase to
signify improvement. Contrary to expectations, the data shows that the control group
became less attentive and more hyperactive. Although they did internalize less, their
adaptive skills slightly declined. The neurofeedback study group, however, showed a
marked improvement in attention, a very slight improvement in hyperactivity, and a
decline in internalizing while making minor progress in their adaptive skills.
L. DeLong, 111382 62
Table 10 The statistical Means by Group for Standard Deviation and Mean
Group Difference n mean std dev
Control Auditory Discrimination Quiet 12 0.50 2.15
Auditory Discrimination Noise 12 -3.33 4.08
ITPA Reception 12 0.92 5.96
ITPA Memory 12 0.58 6.46
ITPA Association 12 2.25 2.05
Peabody 12 3.42 10.52
Key Math 12 11.75 10.74
Woodcock Word Identification 12 4.00 4.18
Woodcock Word Attack 12 2.17 2.72
Woodcock Word Comprehension 12 2.58 4.40
Neurofeedback Auditory Discrimination Quiet 12 0.42 0.79
Auditory Discrimination Noise 12 1.75 3.82
ITPA Reception 12 3.92 7.37
ITPA Memory 12 3.83 6.58
ITPA Association 12 2.67 3.17
Peabody 12 11.67 9.86
Key Math 12 18.50 10.48
Woodcock Word Identification 12 4.17 9.66
Woodcock Word Attack 12 4.08 4.08
Woodcock Word Association 12 5.92 4.72
L. DeLong, 111382 63
The results above reflect gains or declines using a traditional pre-test/post-test
process and standardized test scores.
Relevant Data Were Analyzed:
A. To determine the effects of EEG neurofeedback with neuro-cognitive
processing on participants in study group of private elementary/middle school
students, and;
B. To compare these effects to the effects of not being exposed to EEG
neurofeedback with neuro-cognitive processing on participants in a control
group of private elementary/middle school students.
Table 11 Designated Tests Analysis
Auditory Processing Reading Math Nonverbal Achievement
ITPA-Reception Woodcock Word ID Key Math Peabody (PPVT-III)
ITPA- Memory Woodcock Word Attack
ITPA-Association Woodcock Comprehension
Auditory Discrim Quiet
Auditory Discrim Noise
L. DeLong, 111382 64
Table 12 Auditory Gain by Group
Analysis of Auditory Processing
Hypothesis:
The degree of learning in two designated language areas (reading and listening),
and the degree of overall improvement in academic achievement, will be greater for a
group of students in a creative arts curriculum that was combined with neuro-cognitive
L. DeLong, 111382 65
coaching and EEG neurofeedback, than it will be for another group of students in the
same creative arts curriculum who were not exposed to neuro-cognitive coaching and
EEG neurofeedback.
Auditory Processing Analysis:
Auditory processing tools were used to obtain information in the areas of quiet
versus noise processing discrimination, auditory information reception, auditory
sequential memory and auditory association skills. The results for the group receiving
the neurofeedback showed a marked improvement in all raw scores compared to the
results for the control group.
Results:
The auditory processing tests were not statistically significant at a 0.05 level using
a three-way analysis of variance. Therefore, a two-sample t-test was performed to
determine whether there was an effect of group on the pre- and post-test findings. The
test found a strong significance level of 0.0046 for auditory discrimination noise.
L. DeLong, 111382 66
Table 13 Reading by Group
Analysis of Reading
Reading Analysis
The Woodcock Reading Mastery instrument has three subtests that were
measured in this study: word identification, passage comprehension and word attack.
The raw scores for each of the three subtests were higher for the neurofeedback group
when compared to the raw scores for the control group.
Results:
The statistically significant subtest was word identification. A two-sample t-test
revealed an increase in vocabulary scores for the neurofeedback group that was
significant at p=0.0126 level.
L. DeLong, 111382 67
Table 14 Math Gain by Group
Analysis of Math:
The AGS Key Math is composed of three basic subtests that are made up of
several, distinct components. The Basic Concepts subtest contains numeration, rational
numbers, and geometry. The Operations subtest, includes addition, subtraction,
multiplication, division, and mental computation. The Applications subtest contains the
elements of time and money, estimation, interpretation of data and problem solving. The
Key Math instrument scored each of these subtests individually and it provided a total
test score. In this study, the total test score was interpreted as a global math-processing
indicator.
Results:
The three-way analysis of variance performed on the data did not show statistical
significance at the 0.05 level. As a result, a two-sample t-test was used to determine the
L. DeLong, 111382 68
level of difference between the study and control groups. Results from the two-sample t-
test indicated that it would be necessary to perform a 2-way ANOVA. The ANOVA
analysis found a significance level of 0.0033 for the total score of Key Math when
comparing semesters 1 and 2 for each group.
Table 15 Achievement Gain by Group
Analysis of Global Achievement
The Peabody (PPVT-III) is a nonverbal test of global achievement that was
designed as a measure of receptive vocabulary. In addition, it can serve as a measure to
screen verbal ability, or it can be used as one element in a comprehensive battery of tests
to evaluate cognitive processing abilities.
Results:
The raw scores on the PPVT-III indicated a level of improvement for the
neurofeedback group that was greater than the level of improvement for the control
L. DeLong, 111382 69
group. There was a duration of three months between the pre- and post-test. Both groups
showed improvements in receptive vocabulary and academic scores. It is believed that
participation in the arts-based program at MAA may have influenced this outcome. The
results for the PPVT-III were not statistically significant using the three-way analysis of
variance, the two-sample t-test or the 2-way ANOVA for group, for special needs, or for
semester.
Total Test Effects by Group:
The Binomial Test of Distribution was used to indicate the probability of
randomness between the differences in pre- and post-test scores for the control group and
the neurofeedback study group. The Binomial Test of Distribution assumes the
probability of getting a higher score on the post-test is the same as the probability of
getting a lower score on the post-test and is, therefore, 50 percent. The probability that at
least 9 out of the 10 tests would show a positive mean difference for the control group
was 0.0108. The probability that all ten tests would show a positive mean improvement
for the neurofeedback group was significant at the 0.0010 level. This distribution
indicates that the differences found for participants in the neurofeedback study group was
not randomly made, and that these differences reflected their having been exposed to
EEG Neurofeedback and neuro-cognitive coaching.
The following table shows the distribution of the total number of improved scores
per person within both groups. For the control group: 1 participant improved on 4 of the
tests, 4 participants improved on 5 of the tests, 4 participants improved on 6 of the tests, 2
participants improved on 7 of the tests and 1 participant improved on 8 of the 10 tests.
L. DeLong, 111382 70
For the neurofeedback group: 1 participant improved on of the 5 tests, 2 participants
improved on 6 of the tests, 4 participants improved on 7 of the tests, 1 participant
improved on 8 of the tests, 3 participants improved on 9 of the tests, and 1 participant
improved on all ten of the tests.
Table 16 Total Distribution of Test Improvement by Individual
Number of Tests Showing
Improvement
Control Neurofeedback
1 0 0
2 0 0
3 0 0
4 1 0
5 4 1
6 4 2
7 2 4
8 1 1
9 0 3
10 0 1
For the 10 basic tests, the control group had a pre- and post-test mean
improvement of 5.83, and the neurofeedback study group had a mean improvement of
7.5. The Mann-Whitney Test showed that the mean for the neurofeedback study group
L. DeLong, 111382 71
was statistically significant at the p=0.0087 level. This level of significance is suggestive
of the power of neurofeedback as a means of facilitating the ability to perform on these
10 tests. Any concern about random increases on these tests due to a semester effect, to
an increase in maturity effect during the three-month, pre- and post-test period, or to an
age distribution effect should not be of consequence because the Binomial Test of
Distribution and the Mann-Whitney Test were applied to the data in order to compress
the value of random improvement.
L. DeLong, 111382 72
Chapter V
Discussion
The findings from this study suggest that the combination of EEG neurofeedback
and neuro-cognitive coaching increased auditory discrimination skills and enhanced
overall academic achievement for participants in a study group who ranged in level from
first through eighth grade. Improved auditory discrimination skills may be indicative of
increased attention and focus as a result of experiencing EEG neurofeedback training and
neuro-cognitive coaching.
Integration of Current Findings with Prior Literature
The findings of this study are consistent with the findings of many studies in the
literature that indicated attention and concentration can be improved through the use of
EEG neurofeedback. As Barry Sterman discovered in 1965, there exists a state-of-mind,
evidenced by a particular brainwave frequency range (12-15 Hz), that is characterized by
a simultaneous condition of alertness and stillness (Evans & Abarbanel, 1999). Sterman
named this frequency range Sensorimotor Rhythm (SMR) because of the sensorimotor
cortex activity associated with this condition. He observed that, with the accompanying
motor stillness, there is a distinctive, EEG sleep-like “spindle” that is induced while
awake (Robbins, 2000).
The primary training used in the protocol for this research was built upon
Sterman's SMR findings. The initial sessions of neurofeedback followed a five-minute
fractionation of 12-15 Hz SMR activity, interchanged with five minutes of 15-18 Hz. beta
L. DeLong, 111382 73
activity. The results of the training for participants in this study were similar to that
reported by Sterman; namely, the condition of a relaxed body and an alert mind.
The results of Joel Lubar's studies indicate that children diagnosed with Attention
Deficit Hyperactivity Disorder can benefit from neurofeedback training because it
improves concentration skills and increases focusing abilities while completing tasks
(Evans & Abarbanel, 1999). Lubar was the first researcher to report that EEG
neurofeedback not only decreased impulsivity and distractibility in students but also that
it raised their IQ scores by as many as ten to fifteen points (Robbins, 2000).
The findings from this study concurred with those reported by Lubar. Academic
performance levels for each of the study group participants increased by several years.
Their ability to focus attention in the classroom also increased. A possible explanation
for the increase in the ability to focus attention can be attributed to a significant
improvement in auditory discrimination skills due to neurofeedback training and
cognitive coaching. Further, the findings suggest that the increase in academic
performance could be attributed to the newly-developed ability to maintain a focus of
attention for extended periods, thereby allowing the study group participants to perform
better on the post-test.
The combination of neuro-cognitive therapy activities with academic
enhancement games may also have contributed to the overall improvement in academic
achievement of children in the study group. These procedures, in combination, have also
been found to enhance focusing abilities, even in active, noisy environments.
L. DeLong, 111382 74
Enhancements in the ability to focus can contribute to improvements in global learning
and achievement.
The learning environment at MAA for both the study and the control groups was
stress-reduced, according to the definition by Caine and Caine (1999). The high, overall
problem solving and critical thinking skills shown in the Key Math scores may be
attributable to the reduced levels of stress in this environment that are due to the absence
of tests, grades, timed-activities and competition. In addition, this environment provided
increased opportunities for learner-centered, self-initiated projects and activities. These
kinds of projects and activities have been know to increase motivation, according to
Jensen, (2000). It was also noted that daily school attendance was slightly higher for
participants in the neurofeedback group than it was for participants in control group.
Sapolsky, (1998) suspects that reducing stress such as with neurofeedback would led to
less stress-related ailments such as stomachaches, headaches, and intestinal problems.
It is also notable that the children attending the Meridian Academy of the Arts
showed gains in all areas of academics over the course of the two semesters during which
this study was conducted. As a group, they demonstrated over-all improvements in
mathematics, in three areas of reading (word identification, passage comprehension and
word attack) and in global achievement. All of the children enrolled in MAA showed
more than three months academic growth during each semester.
The questions that arise from this research are:
1. Is it possible that the successful outcomes from employing a reduced-
stress learning environment in combination with EEG neurofeedback
L. DeLong, 111382 75
training and neuro-cognitive coaching, provided in this private school,
could be replicated in a public school setting?
2. To what degree did the arts-based curriculum contribute to
improvements in academic performance independent of the
contributions of EEG neurofeedback training and neuro-cognitive
coaching? If EEG neurofeedback training and neuro-cognitive
coaching were provided to a group who were not exposed to such a
curriculum, would there be similar results when compared to a group
who were exposed to both?
3. Are students exposed to the combination of an arts-based curriculum,
with EEG neurofeedback training and neuro-cognitive coaching more
likely to improve academically than their counterparts in a traditional
setting?
4. Are the improvements demonstrated in this study a result of the
combination of EEG neurofeedback training and neuro-cognitive
coaching, or could similar results be obtained by presenting only one of
these procedures?
5. Can the methods examined by this research be instituted in a traditional
curriculum and would the results obtained be lower, equal to, or higher
than the results obtained in this study?
L. DeLong, 111382 76
Discussion of Study Outcomes
Results from the auditory noise subtest of the Woodcock Auditory Discrimination
test were found to be significantly greater for the neurofeedback study group when
compared to results for the control group. This finding indicated that a learned system of
filtering noise is needed by students who have difficulties processing information in loud,
busy atmospheres. In schools where classroom size has increased, or an open-concept
classroom structure is utilized, corresponding levels of noise and activity levels are also
increased. These factors may also contribute to auditory processing difficulties.
Higher mean scores were reported on the Woodcock word attack subtest for
participants in the EEG neurofeedback group possibly because improved abilities to
discriminate sounds contributed to increased phonemic awareness (sounding-out letters
and words).
A noteworthy correlation was found between the results for the Woodcock word
comprehension subtest scores and the Key Math scores: namely, the higher the level of
problem solving skills, the more developed the level of comprehension skills. During a
period of three months, Key Math scores showed an over mean gain of 11.75 for the
control group and 18.50 for the neurofeedback group. These gains, although not
statistically significant, were realized nonetheless and reflected overall academic
improvements for both groups.
Distractibility and difficulty maintaining focus of attention and concentration are
characteristic qualities of those with auditory discrimination problems. Therefore, as the
ability to perceive, discriminate and comprehend specific, single sounds within a noisy
L. DeLong, 111382 77
environment is increased, the tendency towards distractibility is reduced, and the ability
to maintain focus and concentration is elevated.
The increased ability to focus attention, evidenced by the significant results found
in the auditory noise subtest within a noisy environment scores, may be related to the
significant increase in academic improvement found in the Key Math and Woodcock
Word Identification Tests. These findings indicated increases in vocabulary and problem
solving skills and in the ability to learn, reframe and reorganize information that may be
due to a heightened focus of attention and concentration.
In this study, participants with language disorders in this stress-reduced, creative
arts curriculum, who were exposed to EEG neurofeedback training and neuro-cognitive
therapy, made notable strides in the areas of academic improvement, auditory processing
and global achievement. If larger numbers of students with language disorders were
exposed to this methodology, it can be inferred that larger numbers of students with
language disorders would experience greater advances in the areas of academic
improvement, auditory processing and global achievement.
Conclusion
In this controlled study, notable differences were found for participants in a study
group who were exposed to EEG neurofeedback training and neuro-cognitive coaching in
a creative arts curriculum, and participants in a control group who were exposed only to a
creative arts curriculum. The mean scores obtained by this research indicated that
participants in the study group made significantly greater academic gains, when
L. DeLong, 111382 78
compared to the gains of participants in the control group. Although the academic gains
of special needs children were more modest than those of their average or gifted
counterparts, they were, nevertheless, gains. That these special needs children did
experience gains is a finding that is contrary to those reported by other researchers in the
field of neurofeedback (Schwartz, 1995), which may suggest that the MAA curriculum
and methodology were responsible for the gains.
This study demonstrated that EEG neurofeedback training and neuro-cognitive
coaching, provided as an adjunct to a specialized, creative arts program characterized by
a stress-reduced learning environment, small class size and individualized curricula, can
result in educationally significant mean gains in the areas of auditory processing, global
achievement and in several components of mathematics, including problem solving and
critical thinking.
Recommendations:
Although promising, the findings from this study were not based upon a
sufficiently large sample size for them to be predictively powerful. In order to be able to
make probable generalizations, providing that compelling, statistical significance would
be found in the resulting data, this study needs to be replicated with a sample size of
n=48 or larger. The predictive power for the findings of a replication study would also be
enhanced if the study sample contained large and more homogenous age groupings and
more demographically diverse. For example, it would be very interesting to compare the
L. DeLong, 111382 79
mean academic gain for a large group of 6-year-olds vis-a-vis the academic gain for a
large group of 11-year-olds, as a function of exposure to EEG neurofeedback training.
In spite of the limited study group size available to this research project, its
findings relative to EEG neurofeedback training having had a positive impact with
special needs students is curiosity provoking, particularly in light of past research having
indicated that there is little value to be gained from applying this training to the special
needs population. It would be most interesting to be able to examine academic gain data
associated with EEG neurofeedback training and neuro-cognitive coaching, derived from
large sample sizes of three distinct study populations: special needs, normal and
academically talented. Should significant academic improvements be eventually found
for special needs groups who experience competently administered EEG neurofeedback
training and neuro-cognitive coaching, then remarkable improvements in the educational
experience for this group could be realized.
To witness a widespread implementation of a new pedagogical methodology,
derived from positive, large-scale replication studies of the impacts of EEG
neurofeedback training and neuro-cognitive processing, applied not only to the
experience of being educated, but also to the experience of being human, would realize
the intent, the purpose and the passion underpinning this research.
L. DeLong, 111382 80
References
Abarbanel, A. (1995). The gates, states, rhythms and resonance’s. Journal Neurotherapy,
Retrieved February 15, 2001. from http://www.snr-jnt.org/NFBarch/reprints/aq-
nt.html.
Allen, R. J. (1990). Developing and remediating perceptual skills for learning disabled
children in the primary grades (1st ed.). New York: Vantage Press.
Allen, T. (1997). Clinical applications of EEG [manual]. Oakland, CA: The Stens
Corporation.
Amen, D. G. (1997). Windows into the A.D.D. mind. Fairfield, CA: Mindworks Press.
Amen, D. G. (1998). Change your brain change your life. New York: Random House.
Amen, D. G., & Carmichael, B. D. (1997). High-resolution brain SPECT imaging in
ADHD. Ann Clin Psychiatry, 9: 81-86.
Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed.). Upper Saddle River,
NJ: Prentice Hall.
Anderson, D., Winfred, H., Chitwood, S. (1997). Negotiating the special education maze:
A guide for parents and teachers. New York: Woodbine House.
Anderson, N., & Peiper, H.(1996). A.D.D. The natural approach (12th ed.). East Canaan
Atwater, F. H. (2000). Binaural beats and the frequency following response. [ not
published]. Proceedings of the Monroe Institute Professional Division, Faber, VA.
CT: Safe Goods.
L. DeLong, 111382 81
Atwater, F. H. (2001). Binaural beats and the regulation of arousal levels. Proceedings
INAS. 11th Forum, New York: International New Arts & Sciences.
Atwater, P. M. H. (1999). Future memory. Charlottesville, VA: Hampton Roads.
Bartlett, F. C. (1995). Remembering; A study in experimental and social psychology (3rd
ed.). United Kingdom: Cambridge University Press.
Baumer, B. H. (1996). How to teach your dyslexic child to read: A proven method for
parents and teachers. New York: A Birch Lane Press Book.
Bell, N. (1991). Verbalizing and visualizing: For language comprehension and thinking.
Paso Robles, CA: Academy of Reading.
Bellis, T. J. (1998). Central auditory processing disorders; In the educational setting (3rd
ed.). San Diego: Singular Publishing Group.
Bergquist, W. H., McLean, R., & Kobylinski, B.A. (1994). Stroke survivors (1st ed.). San
Francisco: Jossey-Bass.
Boyd, W. D., & Campbell, S. E. (2000). EEG biofeedback in the schools: The use of
EEG biofeedback to treat ADHD in a school setting. Journal of Neurotherapy, 6:
2-4.
Brierley, J. (1994). Give me a child until he is seven: Brain studies & early childhood
education (2nd ed.). Washington, D.C.: The Falmer Press.
Brown, V. (1991). Neurofeedback and lyme's disease: A clinical application of the five
phase model of CNS functional transformation and integration. Journal of
Neurotherapy, Retrieved January 11, 2001 from: http://www.snr-
jnt.org/journalNT/JNT(1-4)2.html.
L. DeLong, 111382 82
Brown, V. (1997). Period three approach. Retrieved April 22, 2001. from:
http://www.neurofeed.com/sueValArticleP1.asp.
Budzynski, T.H. (1978). Biofeedback in the treatment of muscle-contraction (tension)
headache. Biofeedback Self Regul., 3: 409-34.
Budzynski, T.H. (2000). From EEG to neurofeedback. In Evans, J. & Abarbanel, A.
(2000). Introduction to quantitative EEG and neurofeedback. (pp.66-76). San
Diego. CA: Academic Press.
Budzynski, T.H., Stoyva, J.M., Adler, C.S., & Mullaney, D.J. (1973). EMG biofeedback
and tension headache: a controlled outcome study. Psychosom Med., 35: 484-96.
Buzan, T., Buzan, B. (1993). The mind map book. New York: Penguin Books USA.
Caine, G., Caine, R. (1994). Making connections. New York: Addison-Wesley.
Caine, R., Caine, G. (1997). Education on the edge of possibility. Alexandria, VA:
Association for Supervision and Curriculum Development.
Callas, S., Mellinger, B.J., King-Taylor, M., Boulden, K., Hiester, & K.,Walti, et al.
(1998). When teachers reflect. Washington, D.C.: National Association for the
Publication of Young Children.
Calvin, W. H. (1996). How brains think: evolving intelligence, then and now. New York:
Basic Books.
Campbell, D. (1997). The Mozart effect. (1st ed.). New York: Avon Books.
Campbell, H., Boyd, K. (1996). Screening and the new genetics: A public health
perspective on the ethical debate. J Public Health Med., 18: 485-6.
L. DeLong, 111382 83
Carroll, L. T., J. (1999). The indigo children; The new kids have arrived. Carlsbad, NM:
Hay House.
Carter, C.S., Krener, P., Chaderjian, M., Northcutt, C., & Wolfe, V.(1995).
Asymmetrical visual-spatial attentional performance in ADHD: evidence for a
right-hemisphere deficit. Biol Psychiatry, 37:789-97.
Carter, R. (1998). Mapping the mind (1st ed.). London, England: University of California
Press.
Cassity, M. D., & Cassity, J. E. (1998). MultiModel psychiatric music therapy for adults,
adolescents, and children (1st ed.). Saint Louis: MMB Music.
Cera, R. M., Vulanich, N. N., & Brady, W. A. (1995). Patients with brain injury (2nd
ed.). Austin, TX: pro.ed.
Charnetski, C.J., Brennan, F.X. Jr., & Harrison, J.F. (1998). Effect of music and auditory
stimuli on secretory immunoglobulin A(IgA). Perceptual Motor Skills, 87: 1163-
70.
Chen, A. C., & Buckley, K. C. (1988). Neural perspectives of cerebral correlates of
giftedness. International Journal of Neuroscience, 41:115-25.
Chomsky, N. (1996). Language and problems of knowledge. Mendocino, CA: Audio
Scholar.
Chomsky, N. (2000). New horizons in the study of language and mind. United Kingdom:
Cambridge University Press.
Comings, D. E. (1997). Tourette syndrome and human behavior (4th ed.). Duarte, CA:
Hope Press.
L. DeLong, 111382 84
Conner, K. (1989). Feeding the brain: How foods affect children. New York: Plenum
Press.
Cook, N. D. (1984). Callosal inhibition: The key to the brain code. Behavioral Science,
29: 98-110.
Cook, N. D. (1984). The transmission of information in natural systems. Journal of
Theoretical Biology, 108:349-367.
Cooper, J. R., Bloom, F.E., & Roth, R.H. (1996). The biochemical basis of
neuropharmacology (7th ed.). New York: Oxford University Press.
Cronin, E. M. (1997). Helping your dyslexic child: A guide to improving your child's
reading, writing, spelling, comprehension, and self-esteem (2nd ed.). Rocklin:
Prima.
Davidson, R. J., Hugdahl, K. (1998). Brain asymmetry (2nd ed.). Cambridge, MA: A
Bradford Book.
De Backer, J., Van Camp, J., Pedersen, I.N., Jensen, B., Stige, B., & Streeter, E., et al.
(1999). Clinical Applications of Music Therapy in Psychiatry. London, England:
Jessica Kingsley.
DeBoskey, D. S., Calub, C., Cook, C., Hooker, C., Lindeman, J., & Wallace, L. (1997).
Brain Injury: A HomeBased Cognitive Rehabilitation Program (2nd ed.). Houston:
HDI
Dennison, P. E., & Dennison, G. E. (1988). Brain gym (1st ed.).Ventura, CA: Edu-
Kinesthetics.
L. DeLong, 111382 85
Desmedt, J. E. & Tomberg, C. (1994). Transient phase-locking of 40 Hz electrical
oscillations in prefrontal and parietal human cortex reflects the process of
conscious somatic perception. Neuroscience Lett., 168:126-9.
DePorter, B., & Hernacki, M. (1992). Quantum learning. New York: Dell.
DesMaisons, K. (1998). Are you sugar sensitive?: Potatoes not prozac. New York:
Fireside Press.
Dewhurst-Maddock, O. (1993). The book of sound therapy: Heal yourself with music and
voice. New York: A Fireside Book.
Druckman, T., & Minevich, A. (1999). Applications of EEG- neurofeedback for
Attention Deficit Disorder, Biofeedback, Retrieved March 12, 2001. from
http://www.webideas.com/biofeedback/research/tdruckman.shtml.
Dunn, L. M., & Dunn, L. M. Peabody picture vocabulary test (3rd ed.) Circle Pines, MN:
American Guidance Service.
Edelman, G. M. (1992). Bright air, brilliant fire: On the matter of the mind (1st ed.). New
York: BasicBooks.
Edgall, G. (1997). Learning disabilities and brain function. New York: Springer.
Eisenreich, J. (1992). Children with tourette syndrome (1st ed.). Rockville, MD:
Woodbine House.
Ekman-Lundy, L. (1998). Neuroscience fundamentals for rehabilitation. Philadelphia:
W.B. Saunders.
Elkind, D. (1981). The hurried child: Growing up too soon (1st ed.). New York: Addison-
Wesley.
L. DeLong, 111382 86
Evans, J. R., Abarbanel, A. (1999). Quantitative EEG and neurofeedback (1st ed.). San
Diego: Academic Press.
Fenger, N. T. (2000). Visual-motor integration and its relation to EEG neurofeedback
brain wave patterns, reading, spelling and arithmetic achievement in attention
deficit disorders and learning disabled students. EEG Spectrum, Retrieved April
09, 2001. from http://www.eegspectrum.com/applications/ADHD-ADD/vis-
motorReadSpell-intro/
Filley, C. M., Cranberg, L.D., Alexander, M.P., & Hart, E. J. (1987). Neurobiological
outcome after closed head injury in childhood and adolescence. Archive of
Neurology, 44:194-8.
Fischbah, G. D. (1994). The biological foundations of consciousness, memory and other
attributes of mind have began to emerge; An overview of this most profound of
all research efforts. Scientific American, A Special Report [Mind and Brain], 1-11.
Fisher, B. (1998). Attention deficit disorder misdiagnosis. Boca Raton, FL: CRC Press.
Frackowiak, R.S., Zeki, S., Poline, J.B., & Friston, K.J. (1996). A Critique of a new
analysis proposed for functional neuroimaging. European Journal of
Neuroscience, 8:2229-31.
Gaddes, W. H., Edgell, D. (1994). Learning disabilities and brain function; A
neuropsychological approach (3rd ed.). New York: Springer.
Gardner, H. (1993). Frames of mind: The theory of multiple intelligences. New York:
BasicBooks.
L. DeLong, 111382 87
Giedd, J. N., Castellanos, F. X., Casey, B. J., Kozuch, P., King, A. C., & Hamburger,
S.D., et al. (1994). Quantitative morphology of the corpus callosum in attention
deficit hyperactivity disorder. American Journal of Psychiatry, 151: 665-9.
Goldberg, E., & Costa, L. D.(1991). Hemispheric differences in the acquisition and use of
descriptive systems. Brain and Language, 14:144-173.
Goldberg, S. (1997). Clinical neuroanatomy made ridiculously simple (25th ed.). Miami:
Med Master.
Goldman, J. (1999). Healing sounds (5th ed.). Boston: Element Books Limited.
Goldman, R., Fristoe, M. & Woodcock, R. (1970). Test of auditory discrimination. Circle
Pines, MN: American Guidance Service.
Goldstein, I. F., & Goldstein, M. (1978). How we know: An exploration of the scientific
process. New York: DA CAPO Press.
Gontkovsky, S., Montgomery, D.(1999). Two case studies examining the effects of
repeated eleven-hertz entrainment under eyes-open and eyes closed conditions.
The Journal of Cognitive Rehabilitation, 17:14-19.
Gorman-Gard, K. (1992). Figurative language. Eau Claire, WI: Thinking Publications.
Green, E. E., Green, A.M., & Walters, E. D. (1974). Biofeedback training for anxiety and
tension reduction. Annuals of New York Academy of Science, 233:157-61.
Greene, R. W. (1998). The explosive child (1st ed.). New York: HaperCollins.
Greenspan, S. I. (1993). Playground politics: Understanding the emotional life of your
school-age child. Reading, MA: Perseus Books.
L. DeLong, 111382 88
Gregory, R. L. (1998). The oxford companion to the mind (2nd ed.). Oxford, NY: Oxford
University Press.
Gridley, M. C. (1989). Children who can hear but can't listen: auditory processing
deficit-achievement anxiety syndrome (1st ed., p. 8). Bloomfield Hills, MI:
Minerva.
Gross, M. A. (1997). The A.D.D. Brain. Commack, NY: Kroshka Books.
Guilford, J.P. (1954). Psychometric methods (2nd ed.). New York: McGraw-Hill.
Gupta, K. (1997). Human brain coloring workbook, An interactive approach to learning
(1st ed.). New York: Random House.
Haerle, T. (1992). Children with tourette syndrome: A parent's guide. New York:
Woodbine House.
Haines, D.E. (1997). Fundamental neuroscience. New York: Church Livingstone.
Hamersky, J. (Executive Producer).(1993). How difficult can this be? F.A.T. city
[Videotape]. New York: Public Broadcasting Service.
Harmony, T., Marosi, E., Becker, J., Rodriguez, M., Fernandez, T., & Silva, J., et
al.(1995). Longitudinal quantitative EEG study of children with different
performances on a reading-writing test. Electroencephalogram Clinical
Neurophysiology, 6:426-33.
Healy, J. M. (1990). Endangered minds; Why children don't think and what we can do
about it (1st ed.). New York: Touchstone.
Healy, J. M. (1994). Your child's growing mind; A practical guide to brain development
and learning from birth to adolescence (2nd ed.). New York: Doubleday.
L. DeLong, 111382 89
Hilts, P. J. (1996). Memory's ghost (1st ed.). New York: Touchstone.
Hink, R. F., Kodera, K., Yamada, O., Kaga, K., & Suzuki, J. (1980). Binaural interaction
of a beating frequency-following response. Audiology, 19:36-43.
Hodgdon, L. A. (1993). Visual strategies for improving communication (8th ed.). Eau
Claire, WI: Quirk Roberts.
Hoffman, J. (1995). Rhythmic medicine: Music with a purpose. Leawood, KS: Jamillan
Press.
Hoffman, J. (1997). Tuning into the power of music. Registered Nurse, 60: 52-54.
Howard, P. J. (1997). The owners manual for the brain. Austin: Leonian Press.
Hughes, T. (1998). Clinical Applications of EMG Biofeedback. Educational presentation
at the EMG Biofeedback conference, Dallas: Stens.
Humphreys, G. (1999). Attention, space, and action: Studies in cognitive neuroscience.
New York: Oxford University Press.
Incorvaia, J. A., Mark-Goldstein, B. S., & Tessmer, D. (1999). Understanding,
diagnosing, and treating AD/HD in children and adolescents (1st ed.). North
Bergen, New Jersey: Jason Aronson.
Ingersoll, B. D. (1998). Daredevils and daydreamers: New perspectives on attention-
deficit / hyperactivity disorder. New York: Double Day.
Jannell, E. M. (1996). A New Tactic in The Fight Against Autism. retrieved March 16,
2000. from http://www.flexyx.com/contents/pubs/autism.html
Jensen, E. (1998). Teaching with the brain in mind (1st ed.). Alexandria, VA: ASCD.
L. DeLong, 111382 90
Kamphaus, R.W., Frick, P.J. (1996). Clinical assessment of child and adolescent
personality and behavior. Needham Heights, MA: Allyn & Bacon.
Kamphaus, R.W., Huberty, C.J., DiStefano, C., & Petosky, M.D. (1997). A typology of
teacher-rated child behavior for a national US sample. Journal of Abnormal Child
Psychology, 25:453-63.
Kandel, E.R., Hawkins, R.D. (1992). The biological basis of learning and individuality.
Scientific American, 267: 78-86.
Katherine, A. (1996). Anatomy of a food addiction: The brain chemistry of overeating
(3rd ed.). Carlsbad, CA: Gurze Books.
Kennerly, R. C. (1996). An empirical investigation into the effect of beta frequency
binaural beat audio signals on four measures of human memory. Hemi-Sync
Journal, 14:1-4.
KeyMath . (1998). A diagnostic inventory of essential mathematics (revised).Circle
Pines, MN: American Guidance Service.
Kiecolt-Glaser, J. K., Malarkey, W. B., & Chee, M., et al. (1993). Negative behavior
during marital conflict associated with immunological down-regulation.
Psychometric. Medicine, 55: 395-409.
Kirk, S., McCarthy, J., & Kirk, W. (1982). Illinois test of psycholinguistic abilities.
Champaign, IL: University of Illinois Press.
Kisner, R., & Knowles, B. (1985). Calisthenics for the brain, Warm-up exercises. Eau
Claire, WI: Thinking Publication.
L. DeLong, 111382 91
Kohn, A. (1993). Punished by rewards: The trouble with gold stars, incentive plans, A's,
praise and other bribes. Boston: Houghton Mifflin Company.
Kozol, J. (1986). Illiterate america. New York: Plume.
Kundtz, D. (1998). Stopping (1st ed.). Berkeley, CA: Conari Press.
Lambert, N. M., & McCombs, B.L. (1998). How students learn: Reforming the schools
through learner-centered education. District of Columbia: APA.
Lanza, J. (1994). Elevator Music (1st ed.). New York: St. Martin's Press.
Lazzaro, I., Gordon, E., Li W., Lim, C. L., Plahn, M., Whitmont, S., & Clarke, S., et al.
(1999). Simultaneous EEG and EDA measures in adolescent attention deficit
hyperactivity disorder. Int J Psychophysiol., Nov; 34:123-34.
Leedy, P. (1997). Practical research: Planning and design. Columbus, OH: Merrill, An
Imprint of Prentice Hall.
Levine, E.S., Black, I.B. (1997). Trophic factors, synaptic plasticity, and memory.
Annuals of New York Academy of Science, 835:12-9.
Levinson, H. N. (1992). Turning around the upside-down kids: Helping dyslexic kids
overcome their disorder (1st ed.). New York: M. Evans and Company.
Liang, S. W., Jemerin, J.M., Tschann, J.M., Wara, D.W., & Boyce, W.T. (1997). Life
events, frontal electroencephalogram laterality, and functional immune status after
acute psychological stressors in adolescents. Psychometric Medicine, 59:178-86.
Liebman, M. (1986). Neuroanatomy made easy and understandable (3rd ed.). Rockville,
MD: Aspen Publishers.
L. DeLong, 111382 92
Love, R., & Webb, W. (1996). Neurology for the speech and language pathologist. MA:
Butterworth-Heinemann.
Lubar, J.F., Swartwood, J.N., Swartwood, D.L. & Timmermann.(1995). Quantitative
EEG and auditory event-related potentials in the evaluation of attention-
deficit/hyperactivity disorder: Effects of methylphenidate and implications for
neurofeedback training. Journal of Psychoeducational Assessment [ADHD
special], 143-160.
Markova, D. (1992). How your child is smart. Berkeley, CA: Conari Press.
Marsh, J. T., Worden, F. G., & Smith, J. C. (1970). Auditory frequency-following
responses: Neural or artifact? Science, 169:1222-3
McEvoy, L. K., Smith, M.E., & Gevins, A. (2000). Test-retest reliability of cognitive
EEG. Clinical Neurophysiology, 3: 457-63.
McIntyre T.D., Trullas R., & Skolnick P. (1988). Asymmetrical activation of GABA-
gated chloride channels in cerebral cortex. Pharmacol Biochem Behav., 30: 911-6.
McKay, M., Davis, M., & Fanning, P. (1995). Messages: The communication skills book.
Oakland, CA: New Harbinger Publications.
McKinney, C. H., Tims, F.C., Kumar, A.M., & Kumar, M. (1997). The effect of selected
classical music and spontaneous imagery on plasma beta-endorphin. Journal of
Behavioral Medicine, 20:85-99.
McMackin, D., Jones-Gotman, M., Dubeau, F., Gotman, J., Lukban, & A., Dean., et al.
(1998). Regional cerebral blood flow and language dominance: SPECT during
intracarotid amobarbital testing. Neurology, 50:943-50.
L. DeLong, 111382 93
Meckstroth, E. A., Tolan, S.S., & Webb, J.T. (1994). Guiding the gifted child: A practical
source for parents and teachers. Scottsdale, AZ: Gifted Psychology Press.
Mike, J. (1997). Brilliant babies powerful adults (1st ed.). Clearwater, FL: Satori Press
International.
Miles, E. (1997). Tune your brain: Using music to manage your mind, body and mood.
New York: Berkley Books.
Miller, L. (1999). Child abuse brain injury: clinical, neuropsychological, and forensic
considerations. Journal of Cognitive Rehabilitation, 17:10-16.
Minnich, E. K. (1990). Transforming knowledge. Philadelphia: Temple University Press.
Mizoguchi, K., Yuzurihara, M., Ishige, A., Sasaki, H., Chui, D.H., & Tabira, T. (2000).
Chronic stress induces impairment of spatial working memory because of
prefrontal dopaminergic dysfunction. Journal of Neuroscience, 20:1568-74.
Modayur, B., Prothero, J., Ojemann, G., Maravilla, K., & Brinkley, J.,. (1997).
Visualization-based mapping of language function in the brain. Neuroimage, 4:
245-58.
Moir, A. (1991). Brain sex: The real difference between men & women. New York: Delta
Press.
Monroe, B. (1992). Concentration , Hemi Sync [CD]. Lovingston, VA: Interstate
Industries.
Montgomery, D. D., Ashley, E., Burns, W.J., & Russell, H.L. (1994). Clinical outcome of
a single case of EEG entrainment for closed head injury. Proceedings of the
Association for Applied Psychophysiology and Biofeedback, 25: 82-83.
L. DeLong, 111382 94
Moustakas, C. (1997). Relationship play therapy. North Bergen: Jason Aronson.
Murphy, B. (1991). Steroids and depression. J. Steroid Biochem. Mol. Biol., 38:537-
559.
Murray, B. (2000, March). From Brain Scan to Lesson Plan. Monitor on Psychology,
31: 22-27.
Myss, C. (1997). The energetics of healing [videotape]. Boulder: Sounds True.
Neill, A. S. (1995). Summerhill school: A new view of childhood. New York: St.
Martin?s Press.
Niehoff, D. (1999). The biology of violence: How understanding the brain, behavior and
environment can break the vicious circle of aggression (1st ed.). New York: The
Free Press.
Ornstein, R. (1997). The right mind. San Diego, CA: Harcourt Brace.
Ornstein, R., Thompson, R.F. (1986). The amazing brain (2nd ed.). Boston, MA:
Houghton Mifflin.
Packer, A. J.(1997). How rude! The teenagers guide to good manners, proper behavior,
and not grossing people out. Minneapolis, MN: Free Spirit Publishing.
Patton, M. Q. (1996). Linking research, theory, and practice [videotape], Cincinnati, OH:
The Union Institute's Learning Council.
Peniston, E.G., Kulkosky, P.J. (1989). Alpha-theta brainwave training and beta-
endorphin levels in alcoholics. Alcohol Clin Exp Res., 13:271-9.
Pinker, S.(1995). The language instinct: How the mind creates language. New York:
HarperPerennial.
L. DeLong, 111382 95
Pulizzoto, R., Pelton, S., Montgomery, D., Burns, W.J., Ashley, E., & Harrison, M., et al.
(1997). The conscious universe (1st ed.). San Francisco: HarperEdge.
Reichardt, P. (1992). Concept building: Developing meaning through narratives and
discussion. Eau Claire, WI: Thinking Publication.
Restak, R. (1984). The brain. New York: Bantam Books.
Restak, R. (1989). The brain, depression, and the immune system. Journal of Clinical
Psychiatry, 50:23-5.
Restak, R. (1995). Brainscapes: An introduction to what neuroscience has learned about
the structure, function and abilities of the brain. New York: Hyperion.
Restak, R. (2001). The secret life of the brain. New York: The Dana Press.
Rice, D. M., Buchsbaum, M.S., Hardy, D., & Burgwald, L. (1991). Focal left temporal
slow EEG activity is related to a verbal recent memory deficit in a non-demented
elderly population. Journal of Gerontology, 4:144-51.
Rico, L. G., & Clagett, M.F. (1980). Balancing the hemispheres: Brain research and the
teaching of writing. Berkley, CA: University of Berkley.
Robbins, J. (2000). A symphony in the brain: The evolution of the new brain wave
biofeedback. New York: Atlantic Monthly Press.
Rocelia, J. A. (1990). Developing and remediating perceptual skills for learning disabled
children in the primary grades. New York: Atlantic Monthly Press.
Rossiter, T.R., & LaVaque, T.J. (1995). A comparison of EEG biofeedback and
psychostimulants in treating attention deficit hyperactivity disorders. Journal of
Neurotherapy, 2:48-49.
L. DeLong, 111382 96
Rozelle, G.R., & Budzynski, T.H. (1995). Neurotherapy for stroke rehabilitation: a
single case study. Biofeedback Self-Regulation, 20:211-28.
Russell, H. (1996). EEG Entrainment combined with multi-modal rehabilitation of a 43-
year-old severely impaired post-aneurysm patient. Proceedings of the Association
for Applied Psychophysiology and Biofeedback, 27:108-109.
Russell, R. (1993). Using the whole brain: Integrating the right and left brain with hemi-
sync sound patterns. Norfolk, VA: Hampton Roads.
Sanders, G. O., & Waldkoetter, R.O. (1997). A study of cognitive substance abuse
treatment with and without auditory guidance. Hemi-Sync Journal, 15: 1-4.
Sapolsky, R. M. (1992). Stress, the aging brain and the mechanisms of neuron death.
Cambridge, MA: A Bradford Book.
Sapolsky, R. M. (1998). The trouble with testosterone. New York, NY: Simon &
Schuster
Sapolsky, R. M. (1998). Why zebras don't get ulcers (2nd ed.). New York: W. H.
Freeman.
Sapolsky, R. M. (1998). Biology and human behavior: The neurological origins of
individuality [Lecture Series]. Springfield, VA: The Teaching Company.
Savage-Rumbaugh, S., Shanker, S.G., & Taylor, T.J. (1998). Apes, language, and the
human mind. New York: Oxford University Press.
Saxby, E., & Peniston, E.G. (1995). Alpha-theta brainwave neurofeedback training: An
effective treatment for male and female alcoholics with depressive symptoms.
Journal of Clinical Psychology, 51: 685-93.
L. DeLong, 111382 97
Scherzer, B. R. (1996). Biofeedback-assisted cognitive behavioral therapy. Unpublished
Doctoral Dissertation, The Union Institute, Cincinnati, OH.
Schiffer, F. (1998). Of two minds: The revolutionary science of dual-brain psychology.
New York: The Free Press.
Schulberg, C. (1986). The music therapy sourcebook: A collection of activities
categorized and analyzed. New York: Human Sciences Press.
Schwartz, M. (1995). Biofeedback A practitioner?s guide. New York: Guilford Press.
Scott, G. G. (1990). Resolving conflict: With others and within yourself. Oakland, CA:
New Harbinger Publications.
Sears, W., & Thompson, L. (1998). The A.D.D. book; New understandings, new
approaches to parenting your child. New York: Little, Brown and Company.
Shatz, C.J., Zeki, S., Damasio, A. R. and Damasio, H.,Raichle, M.E., & Gottfredson,
L.S., et al. (1999).The Scientific American Book of the Brain (1st ed.). New York:
The Lyons Press.
Smith, J. C., Marsh, J. T., & Brown, W. S. (1975). Far-field recorded frequency-
following responses: evidence for the locus of brainstem sources.
Electroencephalogram in Clinical Neurophysiology 39:465-72.
Sokhadze, T., Yi,I., Choi, S., Lee, K., & Sohn, J. (1999). Music selectively modulates
post-stress recovery process. Applied Psychophysiology and Biofeedback, 24;
137.
Speaks, C. (1999). Course notes and workbook for introduction to sound. San Diego, CA:
Thompson Learning.
L. DeLong, 111382 98
Spector, C. C. (1997). Saying one thing meaning another: Activities for clarifying
ambiguous language. Eau Claire, WI: Thinking Publications.
Spielberger, C. D., Lambert, N.M., McCombs, B.L., Alexander P.A., Murphy, P. K., &
Frisby, C.L., et al. (1998). How students learn. Washington, D.C.: American
Psychological Association.
Spolin, V. (1998). Theater games for the classroom (4th ed.). Evanston, IL: Northwestern
University Press.
Springer, S. P., & Deutsch, G. (1997). Left brain/right brain (3rd ed.). New York: W.H.
Freeman.
Stahl, S. M. (1998). Psychopharmacology of antidepressants (2nd ed.). San Diego, CA:
Martin Dunitz.
Staudacher, C., Hadley, J. (1996). Hypnosis for change (1st ed.). Oakland, CA: New
Harbinger.
Stefanatos, G.A. & Wasserstein, J. (2001) Attention deficit/hyperactivity disorder as a
right hemisphere syndrome. Selective literature review and detailed
neuropsychological case studies. Annuals of New York Academy Science,
931:172-95.
Steiner, R. (1991). Old and new methods of initiation. United Kingdom: Rudolf Steiner
Press.
Sterman, M.B., Wyrwicka, W., & Howe, R. (1969). Behavioral and neurophysiological
studies of the sensorimotor rhythm in the cat. Electroencephalogram in Clinical
Neurophysiology, 27:678-9.
L. DeLong, 111382 99
Stordy, B. J., & Nicholl, M. J. (2000). The LCP solution: The remarkable nutritional
treatment for ADHD, dyslexia, and dyspraxia. New York: The Ballantine Books.
Strong, C. J., & Strong, W. (1999). Strong rhythms and rhymes. Eau Claire, WI:
Thinking Publications, Inc.
Suzuki, S., Mills, E., Ferro, M., Schreiber, M., Behrend, L.,& Jempelis, A., et al.(1973).
The suzuki concept: An introduction to a successful method for early education.
San Diego, CA: Diablo press.
Talbot, M. (1992). The holographic universe (2nd ed.). New York: Haper Perennial.
Taylor, D. (1991). Learning denied. Portsmouth, NH: Heinemann educational Books.
Teeter, P. A., & Semrud-Clikeman, M. (1998). Child neuropsychology: Assessment and
interventions for neurodevelopmental disorders. Boston, MA: Allyn & Bacon.
Thatcher, R.W. (1995). Tomographic electroencephalography /
magnetoencephalography. dynamics of human neural network switching.
Journal of Neuroimaging, 5: 35-45.
Thatcher, R.W., Camacho, M., Salazar, A., Linden, C., Biver, C., & Clarke, L. (1997).
Quantitative MRI of the gray-white matter distribution in traumatic brain injury. J
Neurotrauma, 14:1-14.
Thatcher, R.W., Moore, N., John, E.R., Duffy, F., Hughes, J.R., & Krieger, M. (1999).
QEEG and traumatic brain injury: Rebuttal of the american academy of neurology
1997 report by the EEG and clinical neuroscience society. Clinical
Electroencephalogram, 30: 94-8.
L. DeLong, 111382 100
Thompson, L, & Thompson, M. (1998). Neurofeedback combined with training
metacognitive strategies. Applied Psychophysiology and Biofeedback, 23:243-
263
Turkington, C. (1996). The brain encyclopedia (1st ed.). New York: Checkmark Books.
Umriukhin, E. A., Dzhebrailova, T.T., & Korobeinikova II. (1995). Physiological
evaluation of the resultant activity of school children working with computers.
Vestn Ross Akad Med Nauk., 11: 47-52.
Unsworth, C. (1999). Cognitive and perceptive dysfunction: A clinical reasoning
approach to evaluation and intervention. Philadelphia, PA: F.A. Davis.
Upledger, J. E. (1997). Your inner physician and you. Berkeley, CA: North Atlantic
Books.
Valiant, L.G. (1994). Circuits of the mind. New York: Oxford University Press.
Vanderwolf, C.H. (2000). Are neocortical gamma waves related to consciousness? Brain
Res., 855:217-24.
Van der Kar, L. D., & Behtea, C.L. (1982). Pharmacological evidence that serotonergic
stimulation of prolactin secretion is mediated via the dorsal raphe nucleus.
Neuroendocrinology, 35: 225-230.
Van der Kolk, B.A., & Fisler, R.E. (1993). The biologic basis of posttraumatic stress.
Primary Care, 20: 417-32.
Vogel, D., Carter, J.E., & Carter, P.B. (2000). Effects of drugs on communication
disorders (2nd ed.). San Diego: Singular Publishing.
L. DeLong, 111382 101
Waldkoetter, R. (2000). Use of hemi-sync audiotapes to reduce levels of depression for
alcohol-dependent patients. Hemi-Sync Journal, 18: 1-3.
Webb, J. T., Meckstroth, E.A., & Tolan, S.S. (1994). Guiding the gifted child (1st ed.).
Scottsdale, AZ: Gifted Psychology Press.
Weinburger, N. M. (1998). The powers of music. Retrieved December 8, 2001. from
http://www.musica.uci.edu.
Welch, E. T. (1998). Blame it on the brain? Phillipsburg, New Jersey: Presbyterian and
Reformed Publishing.
West, T. G. (1997). In the mind's eye (2nd ed.). Amherst: Prometheus Books.
Wigram , T., & DeBacker, J. (1999). Clinical applications of music therapy in psychiatry.
London, England: Jessica Kingsley.
Wise, A. (1995). The high-performance mind: Mastering brainwaves for insight, healing
and creativity. New York: Penguin Putnam.
Yost, W. (1994). Fundamentals of hearing: An introduction. San Diego, CA: Academic
L. DeLong, 111382 102
Tables
1.) Profile Matrix by Gender, Age Semester & Special Needs………………. 40
2.) Study Concept Model…………………………………………………….. 41
3.) The Pre/Post Rating Instruments…………………………………………. 42
4.) Matrix Menu of Three Separate Periods Used in EEG Neurofeedback
Therapy…………………………………………………………………… 50
5.) Intake Forms……………………………………………………………… 51
6.) The Statistical Matrix for the Identification of Three-Way Analysis of
Variance………………………………………………………………….. 54
7.) The Three-Way Analysis of p-values for Group, Semester and Special
Needs…………………………………………………………………….. 55
8.) Mean Improvement in scores by Group…………………………………. 56
9.) Comparison of BASC Monitor by Group……………………………….. 60
10.) The Statistical Means by Group for Standard Deviation………………… 62
11.) Designated Tests Analysis……………………………………………….. 63
12.) Auditory Gain by Group…………………………………………………. 64
13.) Reading Gain by Group………………………………………………….. 66
14.) Math Gain by Group……………………………………………………... 67
15.) Achievement Gain by Group…………………………………………….. 68
16.) Total Distribution of Test Improvement by Individual………………….. 70
L. DeLong, 111382 103
Appendix